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Advancements in Smart Computing and Information Security : Second International Conference, ASCIS 2023, Rajkot, India, December 7–9, 2023, Revised Selected Papers, Part I / / edited by Sridaran Rajagopal, Kalpesh Popat, Divyakant Meva, Sunil Bajeja
| Advancements in Smart Computing and Information Security : Second International Conference, ASCIS 2023, Rajkot, India, December 7–9, 2023, Revised Selected Papers, Part I / / edited by Sridaran Rajagopal, Kalpesh Popat, Divyakant Meva, Sunil Bajeja |
| Autore | Rajagopal Sridaran |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (509 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
PopatKalpesh
MevaDivyakant BajejaSunil |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Information technology - Management Application software Computers Artificial Intelligence Computer Application in Administrative Data Processing Computer and Information Systems Applications Computing Milieux |
| ISBN |
9783031586040
3031586042 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence -- Machine Learning -- Deep Learning -- Neural Networks -- Image Processing -- Smart Computing -- Cloud Computing Security -- IoT -- Blockchain -- Cyber Security -- Systems Security -- Cryptography -- Encryption -- Attacks -- Mitigation -- Computer Networks. |
| Record Nr. | UNINA-9910855395603321 |
Rajagopal Sridaran
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advancements in Smart Computing and Information Security : Second International Conference, ASCIS 2023, Rajkot, India, December 7–9, 2023, Revised Selected Papers, Part II / / edited by Sridaran Rajagopal, Kalpesh Popat, Divyakant Meva, Sunil Bajeja
| Advancements in Smart Computing and Information Security : Second International Conference, ASCIS 2023, Rajkot, India, December 7–9, 2023, Revised Selected Papers, Part II / / edited by Sridaran Rajagopal, Kalpesh Popat, Divyakant Meva, Sunil Bajeja |
| Autore | Rajagopal Sridaran |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (515 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
PopatKalpesh
MevaDivyakant BajejaSunil |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Application software Information technology - Management Computers Artificial Intelligence Computer and Information Systems Applications Computer Application in Administrative Data Processing Computing Milieux |
| ISBN |
9783031590979
303159097X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence -- Machine Learning -- Deep Learning -- Neural Networks -- Image Processing -- Smart Computing -- Cloud Computing Security -- IoT -- Blockchain -- Cyber Security -- Systems Security -- Cryptography -- Encryption -- Attacks -- Mitigation -- Computer Networks. |
| Record Nr. | UNINA-9910855366703321 |
|
Rajagopal Sridaran
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advancements in smart computing and information security : first international conference, ASCIS 2022, Rajkot, India, November 24-26, 2022, revised selected papers, part II / / edited by Sridaran Rajagopal, Parvez Faruki, Kalpesh Popat
| Advancements in smart computing and information security : first international conference, ASCIS 2022, Rajkot, India, November 24-26, 2022, revised selected papers, part II / / edited by Sridaran Rajagopal, Parvez Faruki, Kalpesh Popat |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (315 pages) |
| Disciplina | 330 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico | Hardware |
| ISBN | 3-031-23095-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Abstracts of Keynotes -- Post-pandemic Applications of AI and Machine Learning -- Smart and Soft Computing Methods for Prioritizing Software Requirements in Large-Scale Software Projects -- Your Readiness for Industry 4.0 -- Securing NexGen Automotives - Threats and Trends -- Cyber Attacks Classification and Attack Handling Methods Using Machine Learning Methods -- The Internet of Things (IoT) Ecosystem Revolution in the World of Global Sports -- Orchestration of Containers: Role of Artificial Intelligence -- Enterprise Cybersecurity Strategies in the Cloud -- Contents - Part II -- Contents - Part I -- Cyber Security -- A Comprehensive Study on Cyber Legislation in G20 Countries -- 1 Introduction -- 2 Literature Review -- 2.1 Argentina -- 2.2 Australia -- 2.3 Brazil -- 2.4 Canada -- 2.5 China -- 2.6 France -- 2.7 Germany -- 2.8 India -- 2.9 Indonesia -- 2.10 Italy -- 2.11 Japan -- 2.12 South Korea -- 2.13 Mexico -- 2.14 Russia -- 2.15 Saudi Arabia -- 2.16 South Africa -- 2.17 Turkey -- 2.18 United Kingdom -- 2.19 United State of America -- 2.20 European Union -- 3 Conclusions -- References -- Image Encryption Algorithm Based on Timeout, Pixel Transposition and Modified Fisher-Yates Shuffling -- 1 Introduction -- 2 Proposed Work -- 2.1 Key Generation -- 2.2 Encryption Process -- 2.3 Decryption Process -- 3 Library and Packages -- 4 Performance Analysis and Results -- 4.1 NPCR & -- UACI Test -- 4.2 Mean Square Error (MSE) -- 4.3 Root Mean Square Error (RMSE) -- 4.4 Peak Signal to Noise Ratio (PSNR) -- 4.5 Key Space Analysis -- 4.6 Key Sensitivity Test -- 4.7 Encryption Time -- 4.8 Correlation Analysis -- 4.9 Mono-bit Test -- 4.10 Entropy Analysis -- 4.11 Average Difference (AD) and Maximum Difference (MD) -- 4.12 Structural Content (SC) -- 5 Conclusion -- References.
EXAM: Explainable Models for Analyzing Malicious Android Applications -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Data Set Preparation -- 3.2 Feature Extraction -- 3.3 Pre-processing the Feature Set and FVT Creation -- 3.4 Model Preparation and Classification -- 3.5 Obfuscation of Samples -- 3.6 Interpretation of Results Using SHAP -- 4 Experiments and Results -- 4.1 Evaluation Measures -- 4.2 Research Questions -- 4.3 Comparison with State-of-the-Art Approaches -- 5 Conclusion -- References -- Data Encryption Approach Using Hybrid Cryptography and Steganography with Combination of Block Ciphers -- 1 Introduction -- 1.1 Research Contribution -- 1.2 Paper Organisation -- 2 Related Work in the Domain -- 3 Proposed Methodology -- 4 Results and Discussions -- 5 Conclusion -- References -- Mitigation and Prevention Methods for Distributed Denial-of-Service Attacks on Network Servers -- 1 Introduction -- 2 Proposed Survey -- 2.1 Motivation for DDoS Attacks -- 2.2 Attack Strategies and Phases -- 2.3 Attack Methods -- 3 Prevention Methods -- 3.1 Prevention Using Filters -- 3.2 Secure Overlay -- 3.3 Honeypots -- 3.4 Load Balancing -- 3.5 Additional Security Patches -- 4 DDoS Mitigation Methods -- 4.1 Detection of DDoS Attacks -- 5 Conclusion -- References -- A Machine Learning Framework for Automatic Detection of Malware -- 1 Introduction -- 2 Literature Review -- 3 Proposed Framework -- 4 Experimental Results -- 5 Conclusion and Future Work -- References -- DNNdroid: Android Malware Detection Framework Based on Federated Learning and Edge Computing -- 1 Introduction -- 2 Related Work -- 3 Datasets -- 4 Machine Learning Technique -- 5 Proposed Framework Architecture -- 6 Evaluation of Proposed Framework -- 7 Comparison of Proposed Framework -- 7.1 Comparison on the Basis of Framework Available in the Literature. 7.2 Comparison of the Proposed Framework with Different Anti-virus Scanners -- 8 Experimental Findings -- 9 Conclusion -- References -- An Improved Symmetric Key Encryption Method Using Randomized Matrix Generation -- 1 Introduction -- 2 Types of Encryption Technique -- 2.1 AES -- 2.2 DES -- 2.3 Blowfish -- 3 Proposed Technique -- 3.1 Random Key Generation Algorithm -- 3.2 Text Message Encryption Algorithm -- 3.3 Text Message Decryption Algorithm -- 4 Matrix Operations -- 4.1 Matrix Determinant -- 4.2 Matrix Multiplication -- 4.3 Matrix Transpose Operation -- 5 Performance Analysis -- 5.1 Implementation of System -- 5.2 Text Encryption Algorithms Performance Analysis -- 5.3 Analysis of Complexity for Random Key Generation -- 5.4 Analysis of Execution Time -- 5.5 Analysis of Throughput -- 6 Conclusion -- References -- Performance Analyses of Black Hole Attack in AODV Routing Protocol in Vanet Using NS3 -- 1 Introduction -- 1.1 AODV Routing Protocol -- 1.2 Black Hole Attack -- 1.3 Literature Survey -- 1.4 Simulation Set-Up -- 1.5 Result Analyses -- 1.6 Conclusion -- References -- Comparative Analysis of Several Approaches of Encoding Audio Files -- 1 Introduction -- 2 Overview of Cryptography -- 3 Aims of Cryptography -- 3.1 The Many Forms that Cryptography Can Take -- 4 Cryptographic Algorithms at a Glance -- 4.1 DES -- 4.2 3DES -- 4.3 AES -- 4.4 Blowfish -- 4.5 RC4 -- 4.6 Twofish -- 4.7 ThreeFish -- 5 Background and Related Works -- 5.1 Related Research and Development on Audio Encryption -- 6 Recent Works on Audio Encryption -- 7 Limitations -- 8 Conclusion -- References -- A Secure Mechanism for Safeguarding Cloud Infrastructure -- 1 Introduction -- 2 Literature Review -- 3 Types of Security in Cloud Computing -- 3.1 Information Security -- 3.2 Identity Security -- 3.3 Network Security -- 3.4 Software Security -- 3.5 Infrastructure Security. 4 Security Concerns in Cloud -- 4.1 Virtualization -- 4.2 Public-Cloud Storage -- 4.3 Multitenancy -- 4.4 Identity and Access Management (IAM) -- 5 Security of Data in Cloud-Computing -- 6 Major Security Challenges -- 6.1 Internal Attacks -- 6.2 Partial/Incomplete Data Deletion -- 6.3 Interception of Data -- 6.4 Failure of Isolation -- 7 Using Encryption for Data Protection -- 7.1 Block-Cipher -- 7.2 Stream Ciphers -- 7.3 Hash Functions -- 8 Case Study on Cloud Based Cyber Security Model for Identification of Safe and Malicious Request -- 9 Conclusion -- References -- Phishing URLs Detection Using Machine Learning -- 1 Introduction -- 2 Related Work -- 2.1 Literature Review -- 2.2 URLs Descriptions -- 3 Research Methodology -- 4 Result and Analysis -- 4.1 Result -- 4.2 Analysis -- 5 Conclusion -- References -- Android Malware Detection with Classification Based on Hybrid Analysis and N-gram Feature Extraction -- 1 Introduction -- 1.1 Average Cost of a Data Breach -- 1.2 Growth Rate of Malware Infections -- 1.3 India and Asia Statistics on Malware Attacks -- 1.4 Trends in the Number of Attacks -- 1.5 Users Attacked by Malware -- 2 Research Objective/Problem Statement -- 3 Challenges in Malware Detection -- 4 Theoretical Framework -- 5 Hypothesis Declaration -- 6 Methodology -- 7 Approach -- 8 Outline of the Work Proposed -- 8.1 Process for the Proposed Scheme of Work -- 9 Conclusion -- 10 Further Research -- References -- Industry -- Image Processing and Deep Neural Networks for Face Mask Detection -- 1 Introduction -- 2 Literature Review -- 3 Proposed System -- 3.1 Machine Learning Approach -- 3.2 Supervised Learning -- 3.3 Unsupervised Learning -- 3.4 Viola Jones algorithm -- 4 Mathematical Formulation -- 5 Results and Discussion -- 6 Conclusion -- References -- An Analysis of Lightweight Cryptographic Algorithms for IoT-Applications. 1 Introduction -- 2 Introduction of IoT -- 3 Software and Hardware Performance Metrics -- 4 Research Directions and Open Research Challenges -- 5 Conclusion -- Appendix 1 -- Hardware and Software Performances of LWC Algorithm -- References -- Permissioned Blockchain-Based Solution to Document Processing in the Real Estate Industry -- 1 Introduction -- 1.1 Blockchain Technology -- 1.2 Indian Real Estate Sector -- 1.3 Impact of Blockchain Technology on the Indian Real Estate Sector -- 2 Related Research Work and Limitations -- 2.1 Summarization of Recent Research Work -- 2.2 Research Gap -- 3 Proposed Research Work -- 3.1 Designed Framework and Components -- 3.2 Core Transaction Process Flow -- 3.3 Proposed Algorithms -- 3.4 Deployment -- 4 Conclusion and Future Scope -- References -- Automatic Evaluation of Free Text Answers: A Review -- 1 Introduction -- 2 Related Work -- 3 A Systematic Review -- 4 Discussion -- 5 Conclusions and Future Work -- References -- Blockchain Federated Learning Framework for Privacy-Preservation -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 4 Performance Evaluation -- 4.1 Datasets -- 4.2 Simulation Setup -- 4.3 Evaluation Metrics -- 4.4 Results and Discussion -- 5 Conclusion -- References -- Path Planning and Static Obstacle Avoidance for Unmanned Aerial Systems -- 1 Introduction -- 2 Methodology -- 2.1 A* Search -- 2.2 Rapidly-Exploring Random Tree -- 2.3 Ant Colony Optimization -- 2.4 Imitation Learning -- 3 Results and Discussion -- 4 Conclusion and Future Work -- References -- Comparative Study of Various Algorithms for Vehicle Detection and Counting in Traffic -- 1 Introduction -- 2 Literature Review -- 2.1 YOLO Real-Time Object Tracking -- 3 Methodology -- 3.1 YOLOv3 Architecture -- 3.2 YOLOv4 Architecture -- 3.3 YOLOv5 Architecture -- 3.4 YOLOv6 Architecture -- 3.5 YOLOv7 Architecture. 4 Results and Discussion. |
| Record Nr. | UNISA-996508667503316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advancements in smart computing and information security : first international conference, ASCIS 2022, Rajkot, India, November 24-26, 2022, revised selected papers, part I / / edited by Sridaran Rajagopal, Parvez Faruki, Kalpesh Popat
| Advancements in smart computing and information security : first international conference, ASCIS 2022, Rajkot, India, November 24-26, 2022, revised selected papers, part I / / edited by Sridaran Rajagopal, Parvez Faruki, Kalpesh Popat |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (482 pages) |
| Disciplina | 943.005 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Electronic data processing
Punched card systems |
| ISBN | 3-031-23092-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Abstracts of Keynotes -- Post-pandemic Applications of AI and Machine Learning -- Smart and Soft Computing Methods for Prioritizing Software Requirements in Large-Scale Software Projects -- Your Readiness for Industry 4.0 -- Securing NexGen Automotives - Threats and Trends -- Cyber Attacks Classification and Attack Handling Methods Using Machine Learning Methods -- The Internet of Things (IoT) Ecosystem Revolution in the World of Global Sports -- Orchestration of Containers: Role of Artificial Intelligence -- Enterprise Cybersecurity Strategies in the Cloud -- Contents - Part I -- Contents - Part II -- Artificial Intelligence -- Galaxy Classification Using Deep Learning -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset Collection -- 3.2 Proposed Deep Galaxies CNN Model -- 3.3 Overview of Algorithms -- 4 Comparative Results -- 4.1 Model Accuracy -- 5 Conclusion and Future Scope -- References -- Word Sense Disambiguation for Hindi Language Using Neural Network -- 1 Introduction -- 2 Related Work -- 2.1 Background -- 2.2 Variants of Word Sense Disambiguation Work -- 2.3 Existing Approaches for Disambiguation -- 3 Proposed Approach for WSD -- 3.1 Architecture of the Proposed WSD Model -- 3.2 Implementation Details -- 4 Result Discussion -- 5 Conclusion and Future Directions -- References -- Social Media Addiction: Analysis on Impact of Self-esteem and Recommending Methods to Reduce Addiction -- 1 Introduction -- 2 Related Work -- 3 Measures -- 3.1 Bergen Social Media Addiction Scale (BSMAS) [5] -- 3.2 Rosenberg Self-esteem Scale (RSES) [5] -- 3.3 Recommendation Methods [14, 15] -- 3.4 Dataset Collection 1 -- 3.5 Dataset Collection 2 -- 4 Proposed Methodology -- 4.1 Statistical Analysis -- 4.2 Recommendation System -- 5 Results and Discussion -- 5.1 Statistical Analysis.
5.2 Recommendation System -- 6 Conclusion -- References -- A Combined Method for Document Image Enhancement Using Image Smoothing, Gray-Level Reduction and Thresholding -- 1 Introduction -- 2 Types of Noises -- 2.1 Speckle Noise -- 2.2 Gaussian Noise -- 2.3 Salt and Pepper Noise -- 3 Proposed Work for Document Image Enhancement -- 3.1 Edge Preserving Image Smoothing -- 3.2 Gray Level Reduction -- 3.3 Image Thresholding Using Otsu's Method -- 4 Experimentation and Results -- 5 Conclusions and Future Work -- References -- A Comparative Assessment of Deep Learning Approaches for Opinion Mining -- 1 Introduction -- 2 Literature Review -- 3 Tools for Opinion Mining -- 4 Deep Learning Techniques -- 4.1 Convolutional Neural Network (CNN) -- 4.2 Recurrent Neural Network (RNN) -- 4.3 Long Short Term Memory (LSTM) -- 4.4 Deep Neural Networks (DNN) -- 4.5 Deep Belief Networks (DBN) -- 4.6 Recursive Neural Network (RECNN) -- 4.7 Hybrid Neural Network -- 5 System Architecture -- 6 Advantages of Deep Learning -- 7 When to Use Deep Learning -- 8 Disadvantages of Deep Learning -- 9 Conclusion -- References -- Performance Enhancement in WSN Through Fuzzy C-Means Based Hybrid Clustering (FCMHC) -- 1 Introduction -- 2 Related Work -- 3 Network Model -- 3.1 Radio Model -- 3.2 Assumptions -- 4 Proposed Algorithm -- 4.1 Cluster Formation Phase -- 4.2 Cluster Head Selection Phase -- 4.3 Communication Phase -- 5 Analytical Evaluation of Performance -- 5.1 Performance Metrics -- 5.2 Simulation Parameters -- 5.3 Results and Discussion -- 6 Conclusion -- References -- A Review of Gait Analysis Based on Age and Gender Prediction -- 1 Introduction -- 2 Gait Analysis and Feature Extraction -- 2.1 Gait and Gait Cycle -- 2.2 Gait and Gait Cycle -- 2.3 Gait and Gait Cycle -- 2.4 Motivation and Application of GEI Motivation -- 3 Evolution Metric -- 4 Related Work. 5 Comparison and Summary of Related Research Work -- 6 Future Work -- 7 Limitations and Challenges -- 8 Conclusion -- References -- Handwritten Signature Verification Using Convolution Neural Network (CNN) -- 1 Introduction -- 1.1 About the Domain -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Converting Image to Binary -- 3.2 Noise Removal -- 3.3 Image Enlargement -- 4 Feature Extraction -- 5 Feature Selection -- 6 Classification -- 7 Conclusion and Future Work -- References -- Comparative Analysis of Energy Consumption in Text Processing Models -- 1 Introduction -- 2 Existing Approaches -- 3 Exploration of the Data-Set -- 3.1 Average Word Length -- 3.2 Average Character Length -- 3.3 Number of Comments -- 4 Modelling -- 4.1 Simple Machine Learning Model -- 4.2 DistilBERT Model -- 4.3 Conv1D Model -- 4.4 Gated Recurrence Unit - GRU Model -- 5 Results -- 6 Conclusion -- References -- Evolution Towards 6G Wireless Networks: A Resource Allocation Perspective with Deep Learning Approach - A Review -- 1 Introduction -- 1.1 6G Vision -- 1.2 Technical Objectives of 6G -- 2 Resource Allocation for 6G Wireless Networks -- 3 Summary of Deep Learning Algorithms Used for 6G Wireless Networks Resource Allocation -- 4 Conclusion and Future Scope -- Appendix -- References -- Automation of Rice Leaf Diseases Prediction Using Deep Learning Hybrid Model VVIR -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 Results -- 5 Discussion -- References -- A Review Based on Machine Learning for Feature Selection and Feature Extraction -- 1 Introduction -- 2 Preliminaries -- 2.1 Feature Selection -- 2.2 Reducing the Dimensionality -- 3 Related Works -- 3.1 Feature Selection Approaches -- 3.2 Feature Extraction Approaches -- 4 Discussion -- 5 Conclusion -- References -- Automating Scorecard and Commentary Based on Umpire Gesture Recognition -- 1 Introduction. 2 Literature Survey -- 3 Methodology -- 3.1 Umpire Gestures -- 3.2 Dataset -- 3.3 Feature Extraction -- 3.4 Classification of Umpire Gestures -- 3.5 Scorecard Updating Feature -- 4 Results and Discussion -- 5 Conclusion -- References -- Rating YouTube Videos: An Improvised and Effective Approach -- 1 Introduction -- 2 Previous Work -- 3 Implementation -- 3.1 Comment Collection and Preprocessing -- 3.2 Sentiment Measure -- 3.3 Word Cloud -- 3.4 Video Rating -- 4 Performance Review of Proposed Approach -- 4.1 Major Application: Detection of Clickbait Videos -- 5 Limitations and Loopholes -- 6 Result -- 7 Conclusion -- 8 Future Work -- References -- Classification of Tweet on Disaster Management Using Random Forest -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Preprocessing -- 3.2 Training, Validation and Testing -- 3.3 Feature Extraction -- 3.4 Random Forest Classification -- 3.5 Location Extraction -- 4 Results and Discussions -- 5 Datasets -- 6 Experiment -- 7 Validation -- 8 Conclusions -- References -- Numerical Investigation of Dynamic Stress Distribution in a Railway Embankment Reinforced by Geogrid Based Weak Soil Formation Using Hybrid RNN-EHO -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Model Clay Barrier's Compositional Characteristics -- 2.2 Geogrid -- 2.3 Measuring Subgrade Stiffness -- 2.4 Multi Objective Function -- 2.5 Improving Settlement-Based Geogrid using Hybrid RNN-EHO Technique -- 2.6 The Procedure of the EHO in Realizing the Learning of RNN -- 3 Results and Discussion -- 3.1 Uncertainty Analysis -- 4 Conclusion -- References -- Efficient Intrusion Detection and Classification Using Enhanced MLP Deep Learning Model -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 4 Results and Discussion -- 5 Conclusion -- References. Classification of Medical Datasets Using Optimal Feature Selection Method with Multi-support Vector Machine -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 4 Results and Discussions -- 5 Conclusions -- References -- Predicting Students' Outcomes with Respect to Trust, Perception, and Usefulness of Their Instructors in Academic Help Seeking Using Fuzzy Logic Approach -- 1 Introduction -- 2 Literature Review -- 3 Proposed Work -- 4 Results and Discussions -- 5 Conclusion -- References -- Smart Computing -- Automatic Cotton Leaf Disease Classification and Detection by Convolutional Neural Network -- 1 Introduction -- 2 Literature Review -- 3 List of Cotton Diseases -- 4 Materials and Methods -- 4.1 Dataset and Data Augmentation -- 4.2 CNN Pre-trained Architectures -- 4.3 Classification by Proposed CNN -- 5 Results and Discussions of Research -- 5.1 Pre-trained Model -- 6 Conclusion -- References -- Analytical Review and Study on Emotion Recognition Strategies Using Multimodal Signals -- 1 Introduction -- 2 Literature Survey -- 2.1 Classification of Emotion Recognition Strategies -- 3 Research Gaps and Issues -- 4 Analysis and Discussion -- 4.1 Analysis with Respect to Publication years -- 4.2 Analysis on the Basis of Strategies -- 4.3 Analysis on the Basis of Implementation Tool -- 4.4 Analysis in Terms of Employed Datasets -- 4.5 Analysis on the Basis of Evaluation Measures -- 4.6 Analysis Using Evaluation Measures Values -- 5 Conclusion -- References -- An Image Performance Against Normal, Grayscale and Color Spaced Images -- 1 Introduction -- 2 Overview of Image Matching Techniques -- 2.1 SIFT -- 2.2 SURF -- 2.3 ORB -- 3 Experimental Results -- 3.1 L*A*B* Color Space -- 4 Conclusion -- References -- Study of X Ray Detection Using CNN in Machine Learning -- 1 Introduction -- 2 Literature Review -- 2.1 Methods. 3 Algorithm CNN Model Algorithm Model = Sequential(). |
| Record Nr. | UNISA-996508667303316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advancements in Smart Computing and Information Security : First International Conference, ASCIS 2022, Rajkot, India, November 24–26, 2022, Revised Selected Papers, Part II / / edited by Sridaran Rajagopal, Parvez Faruki, Kalpesh Popat
| Advancements in Smart Computing and Information Security : First International Conference, ASCIS 2022, Rajkot, India, November 24–26, 2022, Revised Selected Papers, Part II / / edited by Sridaran Rajagopal, Parvez Faruki, Kalpesh Popat |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (315 pages) |
| Disciplina |
330
006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer networks Computer systems Coding theory Information theory Application software Data protection Artificial Intelligence Computer Communication Networks Computer System Implementation Coding and Information Theory Computer and Information Systems Applications Data and Information Security |
| ISBN |
9783031230950
3031230957 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Abstracts of Keynotes -- Post-pandemic Applications of AI and Machine Learning -- Smart and Soft Computing Methods for Prioritizing Software Requirements in Large-Scale Software Projects -- Your Readiness for Industry 4.0 -- Securing NexGen Automotives - Threats and Trends -- Cyber Attacks Classification and Attack Handling Methods Using Machine Learning Methods -- The Internet of Things (IoT) Ecosystem Revolution in the World of Global Sports -- Orchestration of Containers: Role of Artificial Intelligence -- Enterprise Cybersecurity Strategies in the Cloud -- Contents - Part II -- Contents - Part I -- Cyber Security -- A Comprehensive Study on Cyber Legislation in G20 Countries -- 1 Introduction -- 2 Literature Review -- 2.1 Argentina -- 2.2 Australia -- 2.3 Brazil -- 2.4 Canada -- 2.5 China -- 2.6 France -- 2.7 Germany -- 2.8 India -- 2.9 Indonesia -- 2.10 Italy -- 2.11 Japan -- 2.12 South Korea -- 2.13 Mexico -- 2.14 Russia -- 2.15 Saudi Arabia -- 2.16 South Africa -- 2.17 Turkey -- 2.18 United Kingdom -- 2.19 United State of America -- 2.20 European Union -- 3 Conclusions -- References -- Image Encryption Algorithm Based on Timeout, Pixel Transposition and Modified Fisher-Yates Shuffling -- 1 Introduction -- 2 Proposed Work -- 2.1 Key Generation -- 2.2 Encryption Process -- 2.3 Decryption Process -- 3 Library and Packages -- 4 Performance Analysis and Results -- 4.1 NPCR & -- UACI Test -- 4.2 Mean Square Error (MSE) -- 4.3 Root Mean Square Error (RMSE) -- 4.4 Peak Signal to Noise Ratio (PSNR) -- 4.5 Key Space Analysis -- 4.6 Key Sensitivity Test -- 4.7 Encryption Time -- 4.8 Correlation Analysis -- 4.9 Mono-bit Test -- 4.10 Entropy Analysis -- 4.11 Average Difference (AD) and Maximum Difference (MD) -- 4.12 Structural Content (SC) -- 5 Conclusion -- References.
EXAM: Explainable Models for Analyzing Malicious Android Applications -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Data Set Preparation -- 3.2 Feature Extraction -- 3.3 Pre-processing the Feature Set and FVT Creation -- 3.4 Model Preparation and Classification -- 3.5 Obfuscation of Samples -- 3.6 Interpretation of Results Using SHAP -- 4 Experiments and Results -- 4.1 Evaluation Measures -- 4.2 Research Questions -- 4.3 Comparison with State-of-the-Art Approaches -- 5 Conclusion -- References -- Data Encryption Approach Using Hybrid Cryptography and Steganography with Combination of Block Ciphers -- 1 Introduction -- 1.1 Research Contribution -- 1.2 Paper Organisation -- 2 Related Work in the Domain -- 3 Proposed Methodology -- 4 Results and Discussions -- 5 Conclusion -- References -- Mitigation and Prevention Methods for Distributed Denial-of-Service Attacks on Network Servers -- 1 Introduction -- 2 Proposed Survey -- 2.1 Motivation for DDoS Attacks -- 2.2 Attack Strategies and Phases -- 2.3 Attack Methods -- 3 Prevention Methods -- 3.1 Prevention Using Filters -- 3.2 Secure Overlay -- 3.3 Honeypots -- 3.4 Load Balancing -- 3.5 Additional Security Patches -- 4 DDoS Mitigation Methods -- 4.1 Detection of DDoS Attacks -- 5 Conclusion -- References -- A Machine Learning Framework for Automatic Detection of Malware -- 1 Introduction -- 2 Literature Review -- 3 Proposed Framework -- 4 Experimental Results -- 5 Conclusion and Future Work -- References -- DNNdroid: Android Malware Detection Framework Based on Federated Learning and Edge Computing -- 1 Introduction -- 2 Related Work -- 3 Datasets -- 4 Machine Learning Technique -- 5 Proposed Framework Architecture -- 6 Evaluation of Proposed Framework -- 7 Comparison of Proposed Framework -- 7.1 Comparison on the Basis of Framework Available in the Literature. 7.2 Comparison of the Proposed Framework with Different Anti-virus Scanners -- 8 Experimental Findings -- 9 Conclusion -- References -- An Improved Symmetric Key Encryption Method Using Randomized Matrix Generation -- 1 Introduction -- 2 Types of Encryption Technique -- 2.1 AES -- 2.2 DES -- 2.3 Blowfish -- 3 Proposed Technique -- 3.1 Random Key Generation Algorithm -- 3.2 Text Message Encryption Algorithm -- 3.3 Text Message Decryption Algorithm -- 4 Matrix Operations -- 4.1 Matrix Determinant -- 4.2 Matrix Multiplication -- 4.3 Matrix Transpose Operation -- 5 Performance Analysis -- 5.1 Implementation of System -- 5.2 Text Encryption Algorithms Performance Analysis -- 5.3 Analysis of Complexity for Random Key Generation -- 5.4 Analysis of Execution Time -- 5.5 Analysis of Throughput -- 6 Conclusion -- References -- Performance Analyses of Black Hole Attack in AODV Routing Protocol in Vanet Using NS3 -- 1 Introduction -- 1.1 AODV Routing Protocol -- 1.2 Black Hole Attack -- 1.3 Literature Survey -- 1.4 Simulation Set-Up -- 1.5 Result Analyses -- 1.6 Conclusion -- References -- Comparative Analysis of Several Approaches of Encoding Audio Files -- 1 Introduction -- 2 Overview of Cryptography -- 3 Aims of Cryptography -- 3.1 The Many Forms that Cryptography Can Take -- 4 Cryptographic Algorithms at a Glance -- 4.1 DES -- 4.2 3DES -- 4.3 AES -- 4.4 Blowfish -- 4.5 RC4 -- 4.6 Twofish -- 4.7 ThreeFish -- 5 Background and Related Works -- 5.1 Related Research and Development on Audio Encryption -- 6 Recent Works on Audio Encryption -- 7 Limitations -- 8 Conclusion -- References -- A Secure Mechanism for Safeguarding Cloud Infrastructure -- 1 Introduction -- 2 Literature Review -- 3 Types of Security in Cloud Computing -- 3.1 Information Security -- 3.2 Identity Security -- 3.3 Network Security -- 3.4 Software Security -- 3.5 Infrastructure Security. 4 Security Concerns in Cloud -- 4.1 Virtualization -- 4.2 Public-Cloud Storage -- 4.3 Multitenancy -- 4.4 Identity and Access Management (IAM) -- 5 Security of Data in Cloud-Computing -- 6 Major Security Challenges -- 6.1 Internal Attacks -- 6.2 Partial/Incomplete Data Deletion -- 6.3 Interception of Data -- 6.4 Failure of Isolation -- 7 Using Encryption for Data Protection -- 7.1 Block-Cipher -- 7.2 Stream Ciphers -- 7.3 Hash Functions -- 8 Case Study on Cloud Based Cyber Security Model for Identification of Safe and Malicious Request -- 9 Conclusion -- References -- Phishing URLs Detection Using Machine Learning -- 1 Introduction -- 2 Related Work -- 2.1 Literature Review -- 2.2 URLs Descriptions -- 3 Research Methodology -- 4 Result and Analysis -- 4.1 Result -- 4.2 Analysis -- 5 Conclusion -- References -- Android Malware Detection with Classification Based on Hybrid Analysis and N-gram Feature Extraction -- 1 Introduction -- 1.1 Average Cost of a Data Breach -- 1.2 Growth Rate of Malware Infections -- 1.3 India and Asia Statistics on Malware Attacks -- 1.4 Trends in the Number of Attacks -- 1.5 Users Attacked by Malware -- 2 Research Objective/Problem Statement -- 3 Challenges in Malware Detection -- 4 Theoretical Framework -- 5 Hypothesis Declaration -- 6 Methodology -- 7 Approach -- 8 Outline of the Work Proposed -- 8.1 Process for the Proposed Scheme of Work -- 9 Conclusion -- 10 Further Research -- References -- Industry -- Image Processing and Deep Neural Networks for Face Mask Detection -- 1 Introduction -- 2 Literature Review -- 3 Proposed System -- 3.1 Machine Learning Approach -- 3.2 Supervised Learning -- 3.3 Unsupervised Learning -- 3.4 Viola Jones algorithm -- 4 Mathematical Formulation -- 5 Results and Discussion -- 6 Conclusion -- References -- An Analysis of Lightweight Cryptographic Algorithms for IoT-Applications. 1 Introduction -- 2 Introduction of IoT -- 3 Software and Hardware Performance Metrics -- 4 Research Directions and Open Research Challenges -- 5 Conclusion -- Appendix 1 -- Hardware and Software Performances of LWC Algorithm -- References -- Permissioned Blockchain-Based Solution to Document Processing in the Real Estate Industry -- 1 Introduction -- 1.1 Blockchain Technology -- 1.2 Indian Real Estate Sector -- 1.3 Impact of Blockchain Technology on the Indian Real Estate Sector -- 2 Related Research Work and Limitations -- 2.1 Summarization of Recent Research Work -- 2.2 Research Gap -- 3 Proposed Research Work -- 3.1 Designed Framework and Components -- 3.2 Core Transaction Process Flow -- 3.3 Proposed Algorithms -- 3.4 Deployment -- 4 Conclusion and Future Scope -- References -- Automatic Evaluation of Free Text Answers: A Review -- 1 Introduction -- 2 Related Work -- 3 A Systematic Review -- 4 Discussion -- 5 Conclusions and Future Work -- References -- Blockchain Federated Learning Framework for Privacy-Preservation -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 4 Performance Evaluation -- 4.1 Datasets -- 4.2 Simulation Setup -- 4.3 Evaluation Metrics -- 4.4 Results and Discussion -- 5 Conclusion -- References -- Path Planning and Static Obstacle Avoidance for Unmanned Aerial Systems -- 1 Introduction -- 2 Methodology -- 2.1 A* Search -- 2.2 Rapidly-Exploring Random Tree -- 2.3 Ant Colony Optimization -- 2.4 Imitation Learning -- 3 Results and Discussion -- 4 Conclusion and Future Work -- References -- Comparative Study of Various Algorithms for Vehicle Detection and Counting in Traffic -- 1 Introduction -- 2 Literature Review -- 2.1 YOLO Real-Time Object Tracking -- 3 Methodology -- 3.1 YOLOv3 Architecture -- 3.2 YOLOv4 Architecture -- 3.3 YOLOv5 Architecture -- 3.4 YOLOv6 Architecture -- 3.5 YOLOv7 Architecture. 4 Results and Discussion. |
| Record Nr. | UNINA-9910644266803321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advancements in Smart Computing and Information Security : First International Conference, ASCIS 2022, Rajkot, India, November 24–26, 2022, Revised Selected Papers, Part I / / edited by Sridaran Rajagopal, Parvez Faruki, Kalpesh Popat
| Advancements in Smart Computing and Information Security : First International Conference, ASCIS 2022, Rajkot, India, November 24–26, 2022, Revised Selected Papers, Part I / / edited by Sridaran Rajagopal, Parvez Faruki, Kalpesh Popat |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (482 pages) |
| Disciplina |
943.005
006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Application software Computer engineering Computer networks Computers Artificial Intelligence Computer and Information Systems Applications Computer Engineering and Networks Computing Milieux |
| ISBN |
9783031230929
3031230922 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Abstracts of Keynotes -- Post-pandemic Applications of AI and Machine Learning -- Smart and Soft Computing Methods for Prioritizing Software Requirements in Large-Scale Software Projects -- Your Readiness for Industry 4.0 -- Securing NexGen Automotives - Threats and Trends -- Cyber Attacks Classification and Attack Handling Methods Using Machine Learning Methods -- The Internet of Things (IoT) Ecosystem Revolution in the World of Global Sports -- Orchestration of Containers: Role of Artificial Intelligence -- Enterprise Cybersecurity Strategies in the Cloud -- Contents - Part I -- Contents - Part II -- Artificial Intelligence -- Galaxy Classification Using Deep Learning -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset Collection -- 3.2 Proposed Deep Galaxies CNN Model -- 3.3 Overview of Algorithms -- 4 Comparative Results -- 4.1 Model Accuracy -- 5 Conclusion and Future Scope -- References -- Word Sense Disambiguation for Hindi Language Using Neural Network -- 1 Introduction -- 2 Related Work -- 2.1 Background -- 2.2 Variants of Word Sense Disambiguation Work -- 2.3 Existing Approaches for Disambiguation -- 3 Proposed Approach for WSD -- 3.1 Architecture of the Proposed WSD Model -- 3.2 Implementation Details -- 4 Result Discussion -- 5 Conclusion and Future Directions -- References -- Social Media Addiction: Analysis on Impact of Self-esteem and Recommending Methods to Reduce Addiction -- 1 Introduction -- 2 Related Work -- 3 Measures -- 3.1 Bergen Social Media Addiction Scale (BSMAS) [5] -- 3.2 Rosenberg Self-esteem Scale (RSES) [5] -- 3.3 Recommendation Methods [14, 15] -- 3.4 Dataset Collection 1 -- 3.5 Dataset Collection 2 -- 4 Proposed Methodology -- 4.1 Statistical Analysis -- 4.2 Recommendation System -- 5 Results and Discussion -- 5.1 Statistical Analysis.
5.2 Recommendation System -- 6 Conclusion -- References -- A Combined Method for Document Image Enhancement Using Image Smoothing, Gray-Level Reduction and Thresholding -- 1 Introduction -- 2 Types of Noises -- 2.1 Speckle Noise -- 2.2 Gaussian Noise -- 2.3 Salt and Pepper Noise -- 3 Proposed Work for Document Image Enhancement -- 3.1 Edge Preserving Image Smoothing -- 3.2 Gray Level Reduction -- 3.3 Image Thresholding Using Otsu's Method -- 4 Experimentation and Results -- 5 Conclusions and Future Work -- References -- A Comparative Assessment of Deep Learning Approaches for Opinion Mining -- 1 Introduction -- 2 Literature Review -- 3 Tools for Opinion Mining -- 4 Deep Learning Techniques -- 4.1 Convolutional Neural Network (CNN) -- 4.2 Recurrent Neural Network (RNN) -- 4.3 Long Short Term Memory (LSTM) -- 4.4 Deep Neural Networks (DNN) -- 4.5 Deep Belief Networks (DBN) -- 4.6 Recursive Neural Network (RECNN) -- 4.7 Hybrid Neural Network -- 5 System Architecture -- 6 Advantages of Deep Learning -- 7 When to Use Deep Learning -- 8 Disadvantages of Deep Learning -- 9 Conclusion -- References -- Performance Enhancement in WSN Through Fuzzy C-Means Based Hybrid Clustering (FCMHC) -- 1 Introduction -- 2 Related Work -- 3 Network Model -- 3.1 Radio Model -- 3.2 Assumptions -- 4 Proposed Algorithm -- 4.1 Cluster Formation Phase -- 4.2 Cluster Head Selection Phase -- 4.3 Communication Phase -- 5 Analytical Evaluation of Performance -- 5.1 Performance Metrics -- 5.2 Simulation Parameters -- 5.3 Results and Discussion -- 6 Conclusion -- References -- A Review of Gait Analysis Based on Age and Gender Prediction -- 1 Introduction -- 2 Gait Analysis and Feature Extraction -- 2.1 Gait and Gait Cycle -- 2.2 Gait and Gait Cycle -- 2.3 Gait and Gait Cycle -- 2.4 Motivation and Application of GEI Motivation -- 3 Evolution Metric -- 4 Related Work. 5 Comparison and Summary of Related Research Work -- 6 Future Work -- 7 Limitations and Challenges -- 8 Conclusion -- References -- Handwritten Signature Verification Using Convolution Neural Network (CNN) -- 1 Introduction -- 1.1 About the Domain -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Converting Image to Binary -- 3.2 Noise Removal -- 3.3 Image Enlargement -- 4 Feature Extraction -- 5 Feature Selection -- 6 Classification -- 7 Conclusion and Future Work -- References -- Comparative Analysis of Energy Consumption in Text Processing Models -- 1 Introduction -- 2 Existing Approaches -- 3 Exploration of the Data-Set -- 3.1 Average Word Length -- 3.2 Average Character Length -- 3.3 Number of Comments -- 4 Modelling -- 4.1 Simple Machine Learning Model -- 4.2 DistilBERT Model -- 4.3 Conv1D Model -- 4.4 Gated Recurrence Unit - GRU Model -- 5 Results -- 6 Conclusion -- References -- Evolution Towards 6G Wireless Networks: A Resource Allocation Perspective with Deep Learning Approach - A Review -- 1 Introduction -- 1.1 6G Vision -- 1.2 Technical Objectives of 6G -- 2 Resource Allocation for 6G Wireless Networks -- 3 Summary of Deep Learning Algorithms Used for 6G Wireless Networks Resource Allocation -- 4 Conclusion and Future Scope -- Appendix -- References -- Automation of Rice Leaf Diseases Prediction Using Deep Learning Hybrid Model VVIR -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 Results -- 5 Discussion -- References -- A Review Based on Machine Learning for Feature Selection and Feature Extraction -- 1 Introduction -- 2 Preliminaries -- 2.1 Feature Selection -- 2.2 Reducing the Dimensionality -- 3 Related Works -- 3.1 Feature Selection Approaches -- 3.2 Feature Extraction Approaches -- 4 Discussion -- 5 Conclusion -- References -- Automating Scorecard and Commentary Based on Umpire Gesture Recognition -- 1 Introduction. 2 Literature Survey -- 3 Methodology -- 3.1 Umpire Gestures -- 3.2 Dataset -- 3.3 Feature Extraction -- 3.4 Classification of Umpire Gestures -- 3.5 Scorecard Updating Feature -- 4 Results and Discussion -- 5 Conclusion -- References -- Rating YouTube Videos: An Improvised and Effective Approach -- 1 Introduction -- 2 Previous Work -- 3 Implementation -- 3.1 Comment Collection and Preprocessing -- 3.2 Sentiment Measure -- 3.3 Word Cloud -- 3.4 Video Rating -- 4 Performance Review of Proposed Approach -- 4.1 Major Application: Detection of Clickbait Videos -- 5 Limitations and Loopholes -- 6 Result -- 7 Conclusion -- 8 Future Work -- References -- Classification of Tweet on Disaster Management Using Random Forest -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Preprocessing -- 3.2 Training, Validation and Testing -- 3.3 Feature Extraction -- 3.4 Random Forest Classification -- 3.5 Location Extraction -- 4 Results and Discussions -- 5 Datasets -- 6 Experiment -- 7 Validation -- 8 Conclusions -- References -- Numerical Investigation of Dynamic Stress Distribution in a Railway Embankment Reinforced by Geogrid Based Weak Soil Formation Using Hybrid RNN-EHO -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Model Clay Barrier's Compositional Characteristics -- 2.2 Geogrid -- 2.3 Measuring Subgrade Stiffness -- 2.4 Multi Objective Function -- 2.5 Improving Settlement-Based Geogrid using Hybrid RNN-EHO Technique -- 2.6 The Procedure of the EHO in Realizing the Learning of RNN -- 3 Results and Discussion -- 3.1 Uncertainty Analysis -- 4 Conclusion -- References -- Efficient Intrusion Detection and Classification Using Enhanced MLP Deep Learning Model -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 4 Results and Discussion -- 5 Conclusion -- References. Classification of Medical Datasets Using Optimal Feature Selection Method with Multi-support Vector Machine -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 4 Results and Discussions -- 5 Conclusions -- References -- Predicting Students' Outcomes with Respect to Trust, Perception, and Usefulness of Their Instructors in Academic Help Seeking Using Fuzzy Logic Approach -- 1 Introduction -- 2 Literature Review -- 3 Proposed Work -- 4 Results and Discussions -- 5 Conclusion -- References -- Smart Computing -- Automatic Cotton Leaf Disease Classification and Detection by Convolutional Neural Network -- 1 Introduction -- 2 Literature Review -- 3 List of Cotton Diseases -- 4 Materials and Methods -- 4.1 Dataset and Data Augmentation -- 4.2 CNN Pre-trained Architectures -- 4.3 Classification by Proposed CNN -- 5 Results and Discussions of Research -- 5.1 Pre-trained Model -- 6 Conclusion -- References -- Analytical Review and Study on Emotion Recognition Strategies Using Multimodal Signals -- 1 Introduction -- 2 Literature Survey -- 2.1 Classification of Emotion Recognition Strategies -- 3 Research Gaps and Issues -- 4 Analysis and Discussion -- 4.1 Analysis with Respect to Publication years -- 4.2 Analysis on the Basis of Strategies -- 4.3 Analysis on the Basis of Implementation Tool -- 4.4 Analysis in Terms of Employed Datasets -- 4.5 Analysis on the Basis of Evaluation Measures -- 4.6 Analysis Using Evaluation Measures Values -- 5 Conclusion -- References -- An Image Performance Against Normal, Grayscale and Color Spaced Images -- 1 Introduction -- 2 Overview of Image Matching Techniques -- 2.1 SIFT -- 2.2 SURF -- 2.3 ORB -- 3 Experimental Results -- 3.1 L*A*B* Color Space -- 4 Conclusion -- References -- Study of X Ray Detection Using CNN in Machine Learning -- 1 Introduction -- 2 Literature Review -- 2.1 Methods. 3 Algorithm CNN Model Algorithm Model = Sequential(). |
| Record Nr. | UNINA-9910644261503321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence Based Smart and Secured Applications : Third International Conference, ASCIS 2024, Rajkot, India, October 16–18, 2024, Revised Selected Papers, Part VI / / edited by Sridaran Rajagopal, Kalpesh Popat, Divyakant Meva, Sunil Bajeja, Pankaj Mudholkar
| Artificial Intelligence Based Smart and Secured Applications : Third International Conference, ASCIS 2024, Rajkot, India, October 16–18, 2024, Revised Selected Papers, Part VI / / edited by Sridaran Rajagopal, Kalpesh Popat, Divyakant Meva, Sunil Bajeja, Pankaj Mudholkar |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (LIV, 478 p. 213 illus., 141 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Information technology - Management Application software Computers Artificial Intelligence Computer Application in Administrative Data Processing Computer and Information Systems Applications Computing Milieux |
| ISBN | 3-031-86305-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Cyber Security. -- Automation of Endpoint Security using Machine Learning. -- Comparative Analysis of Vulnerability and Threats related to Blogging Platforms. -- Cybersecurity Threats to Autonomous Vehicles: A Deep Learning Approach. -- Advanced Threat Intelligence Systems for Early Warning of Cyber Hacking. -- Reconciliation - Backdoor Access finding strategies with Legacy applications. -- Enhancing Cyber Hacking Breach Classification through Integrated Preprocessing and feature Extraction Technique. -- An Ensemble Method for Insider Threat Detection based On User Activities Analysis Using Bi-LSTM and GA Optimization. -- Systemization of Knowledge: Privacy Preservation for Decentralized Non-Financial Applications. -- Identifying Application-Level Distributed Denial-Of-Service (DDoS) Attacks With Machine Learning (ML). -- Cybersecurity Threats and Trust Dynamics in Digital Payment Systems: An Analysis of Domestic Fraud and User Perspectives. -- Enhanced Web Browser Forensics: Innovative Methodology for Evidence Collection and Analysis. -- DDOS attack detection and prevention using MIEC method in SDN environment. -- A lossless image, video and audio encryption method based hybrid chaotic map and DNA encryption. -- Enhancing Cloud Security for Structured Data: An AES-GCM Based Format-Preserving Encryption Approach. -- Hacktivism or Cyber Warfare? Decoding the Motivations Behind Cyber Attacks Targeting Israel. -- Designing a Secure E-Voting System with Ganache: Challenges and Solutions. -- Computer Application for Sustainability. -- Consumer Usage Intention Factors for Mobile Food- Delivery Applications Using Task Technology Fit Approach. -- Optimizing Query Execution Time in Relational Databases Using Cost-Based and Index Merge Strategies: A Case Study on E-Commerce Data. -- Securing Sign-Up and Sign-In in the Indian Market: Fraud Prevention in CIAM for CRM - A Comprehensive Review and Future Directions. -- MERN Stack Website For Government Officials. -- Brain Tumor Diagnosis using Deep Learning: A Systematic Review and Meta- Analysis of MRI Image-Based Studies. -- A STUDY ON EMPLOYEE ENGAGEMENT FACTORS OF INFORMATION & COMMUNICATION TECHNOLOGY (ICT) WORKFORCE. -- A Simulated Manufacturing Study on Rope Size and Number of Splits on the Productivity while Applying the Simplified Drum-Buffer-Rope Methodology. -- Effect of Technology Acceptance among Employees in the Second Half of their Working Life. -- A Study on the Effects of Social Media Platforms on Graduate Students' Academic Achievement. -- Enhancement of Forest Fire Assessment by KDCPMNN Approach in Sikkim, India Using Remote Sensing Images. -- Decentralized Payment Gateway: Bridging DeFi with Metamask. -- Impact of Social Media Marketing in the Cosmetic Industry to Cross the Chasm in India. -- Ubiquitous Computing of Low-Cost Pollutant Sensors for Monitoring Pollutant Gases in the Construction Sector. -- Envisioning the AI-Driven Future: A Delphi Study on the Transformative Role of Artificial Intelligence in Higher Education. -- IoT Integration for Smart Agriculture: Prioritizing Key Factors using WASPAS Approach. -- Transforming EHR Systems Using the HyperLedger Fabric Blockchain Framework. |
| Record Nr. | UNINA-9910999679003321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence Based Smart and Secured Applications : Third International Conference, ASCIS 2024, Rajkot, India, October 16–18, 2024, Revised Selected Papers, Part III / / edited by Sridaran Rajagopal, Kalpesh Popat, Divyakant Meva, Sunil Bajeja, Pankaj Mudholkar
| Artificial Intelligence Based Smart and Secured Applications : Third International Conference, ASCIS 2024, Rajkot, India, October 16–18, 2024, Revised Selected Papers, Part III / / edited by Sridaran Rajagopal, Kalpesh Popat, Divyakant Meva, Sunil Bajeja, Pankaj Mudholkar |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (LIV, 418 p. 208 illus., 137 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Information technology - Management Application software Computers Artificial Intelligence Computer Application in Administrative Data Processing Computer and Information Systems Applications Computing Milieux |
| ISBN | 3-031-86296-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Artificial Intelligence & Machine Learning. -- Performance Evaluation of Machine Learning Algorithms for DDoS Attack Detection: A Comparative Study. -- GeoVigilance Labs: An AI-Enabled System for Automated Land Use Monitoring. -- Underwater Image Classification with Sloth-Enhanced Contrast Limited Adaptive Histogram Equalization (S-CLAHE) and Deep Learning Algorithms. -- A Review of Deep-Learning-Based Models for Afaan Oromo Fake News Detection on Social Media Networks. -- Integrating AI and Block chain for Enhanced Food Traceability and Safety in Restaurants: A Transformative Approach. -- PIRNet:Two-step Deep Neural Network for Segmentation of Brain MRI with Efficient Loss Functions. -- Neural Networks Approach for Liver Cancer Classification. -- Optimizing Tomato Leaf Disease Identification Using a Hybrid Spatial-Temporal Model and Attention Mechanism. -- Machine Learning Strategies for Proactive Malware Detection. -- Generative AI tool in learning an Introductory Programming: A Research Perspective. -- Evaluating the effectiveness of machine learning algorithms in predicting plant diseases:A comparative analysis. -- FLEATM:fuzzy Logic – Based energy-Aware Trust Based Routing In MANETS. -- Smart Road Sensing: A Machine Learning Approach for Pothole Detection and Classification. -- From Threads to Algorithms: AI Innovations in Textile Production. -- Robust Dataset of Digital Handwritten Devanagari Script. -- Racism detecting in Twitter comments using metaheuristics optimized text mining and classification. -- Lower Limb Prosthetics Activity Recognition using Optimized CNN-LSTM Model. -- A Hybrid Approach to Cardiovascular Disease Detection: The Synergy of YOLOv9, CapsNet, and XGBoost. -- Event detection and analysis from social media data using N-gram and Distil-BERT model. -- Predictive Modeling of Genetic Diseases: A Comparison of Various Machine Learning Approaches. -- Extracting the Pneumonia Signature: A Deep Learning Framework for Definitive Diagnosis. -- Leveraging Cloud Resources for Machine Learning-Based Spam Detection API. -- From Pen to Pixel: Understanding Learning Shifts with Student Insights in E-Education. -- Navigating the Path: Exploring Career Choice Dynamics Among Secondary and Higher Secondary School Students. -- Harassment Detection in Online Discourse Using Modified Metaheuristic Natural. -- Analyzing Extractive Summarization methods for Kannada using Sentence Ranking and K-Means Algorithm. -- Real-Time Facial Emotion Recognition Through Neural Networks. -- Deepfake Detection using ResNet50: Performance Analysis on Celeb-DF Dataset. -- Performance of Linear and Polynomial Kernels of SVM towards Kidney Cyst Detection. |
| Record Nr. | UNINA-9910999669403321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence Based Smart and Secured Applications : Third International Conference, ASCIS 2024, Rajkot, India, October 16–18, 2024, Revised Selected Papers, Part IV / / edited by Sridaran Rajagopal, Kalpesh Popat, Divyakant Meva, Sunil Bajeja, Pankaj Mudholkar
| Artificial Intelligence Based Smart and Secured Applications : Third International Conference, ASCIS 2024, Rajkot, India, October 16–18, 2024, Revised Selected Papers, Part IV / / edited by Sridaran Rajagopal, Kalpesh Popat, Divyakant Meva, Sunil Bajeja, Pankaj Mudholkar |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (LIII, 436 p. 181 illus., 140 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Information technology - Management Application software Computers Artificial Intelligence Computer Application in Administrative Data Processing Computer and Information Systems Applications Computing Milieux |
| ISBN | 3-031-86299-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Artificial Intelligence & Machine Learning. -- Deep Learning Methodologies for Segmentation and Classification of Cutaneous Malignancies Utilizing Capsule Networks. -- Prediction of Anti-Cholinesterase drug for Alzheimer disease using Machine Learning Techniques. -- Scrutinize Search Engine Optimization strategies with Artificial Intelligence to Rank a website. -- A STUDY ON MACHINE LEARNING ALGORITHMS: FORECASTING CROP PRICES. -- Improving Student Stress Analysis: Novel Methods for Collecting, Preprocessing, and Fusing Features. -- Extraction of normal and abnormal region in Colposcopy image to support cervical cancer clinical decision. -- Optimizing Pricing Strategies: A Comprehensive Framework Using Bayesian Inference and Game Theory. -- Hybrid Ensemble Gradient Boosting Algorithm to Predict Diabetes Health Care Analytics. -- A Review on Machine Learning Algorithms for Real-Time Traffic Management. -- Hyperparameter-Tuned Intention Mining for Mental Health Diagnosis Using Logistic Regression -- Machine Learning for Accessible and Precise Assessment in Smart Monitoring Systems. -- An Efficient Model for Academic Performance Prediction of the University Students. -- Comprehensive Comparative Study on Data Mining and Machine Learning Approaches for fraud Detection in Financial Services. -- Prediction of Stock Price and Detection of Stock Market Trends using Adaptive Learning Techniques. -- Decentralized EHR Exchange in Healthcare: Enhancing Privacy and Security with Blockchain and Cryptographic Techniques. -- Detection and Analysis of Features of Optic Nerve Head using Retinal Fundus Images of an Eye for A priori Prediction of Glaucoma. -- A Hybrid Deep Learning Framework for Uncertain Supply Chains: An Optimization Approach. -- A Comprehensive Review of Machine Learning techniques in Recommender System for E-Commerce Platform. -- Ethics of AI in the Educational Sector - Navigating the Moral Landscape. -- Integrating Multimodal Data with Mathematical Models for Effective Fake News Classification. -- Breast Cancer Diagnosis: A Comprehensive Evaluation of Machine Learning Techniques. -- Applied ML Algorithms for Happiness Index Prediction of Nations. -- An Empirical Assessment of Credit Risk of Indian Companies Using Machine Learning Algorithms. -- An Efficient Intrusion Detection System Using Deep Learning Techniques. -- ENGAGING CORONARY HEART DISEASE PREDICTION (VEIN) THROUGH FEATURE U-NET IMPROVEMENT WITH ENSEMBLE LEARNING BASED HYBRID BAGGING AND BOOSTING TECHNIQUES. -- Leveraging Social Media Data to Improve Disaster Response and Recovery Efforts using Artificial Intelligence Techniques: A Comprehensive Review. -- International Law and AI Interface. -- Predicting Stock Price Movements with Recurrent Neural Networks: An LSTM-Based Approach. |
| Record Nr. | UNINA-9910996485203321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence Based Smart and Secured Applications : Third International Conference, ASCIS 2024, Rajkot, India, October 16–18, 2024, Revised Selected Papers, Part V / / edited by Sridaran Rajagopal, Kalpesh Popat, Divyakant Meva, Sunil Bajeja, Pankaj Mudholkar
| Artificial Intelligence Based Smart and Secured Applications : Third International Conference, ASCIS 2024, Rajkot, India, October 16–18, 2024, Revised Selected Papers, Part V / / edited by Sridaran Rajagopal, Kalpesh Popat, Divyakant Meva, Sunil Bajeja, Pankaj Mudholkar |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (LIII, 462 p. 178 illus., 127 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Information technology - Management Application software Computers Artificial Intelligence Computer Application in Administrative Data Processing Computer and Information Systems Applications Computing Milieux |
| ISBN | 3-031-86302-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Smart Computing. -- Survey on Security Models employed in Blockchain Based Applications. -- Comparative Analysis of Improved K-Means Clustering for Human Freedom Index. -- Advancements and Innovations in Mixed Reality: A Comprehensive Review. -- Enhancing Sleep Disorder Prediction: CNN with IQR and Lasso Preprocessing. -- A Survey on Various Sentiment Analysis Applications Employing Opinion Mining. -- Mitigating the Technological Challenges of Regenerative Farming with an integrated Framework merging IoT, Ontologies, and GIS. -- Leveraging Blockchain Technology: Decentralized Finance (DeFi) in Health Insurance. -- Analysis of Security Challenges with Countermeasures in IoT based Applications – A Survey. -- Efficient Train Traffic Prediction Using Support Vector Machines with Advanced Preprocessing Techniques. -- A Comparative Analysis of Nerve Vessels Enhancement & Segmentation Techniques Through Edge Detection on Retinal Fundus Image. -- Solidarity linking women and technology: An Analysis. -- Detection and Classification of Epileptic Seizures Using. -- Application of Smart Computing in Steel Structural Health Monitoring: Sensor Based Damage Detection for Smart Infrastructures. -- Application of Smart Computing Systems for Smart Cities and Urban Infrastructure: Framework, Data Management, and Smart Monitoring Attributes. -- Decentralized EHR Exchange in Healthcare: Enhancing Privacy and Security with Blockchain and Cryptographic Techniques. -- A Proposed Model to Transliterate Digitalized Braille Text into Gujarati: An Aid for Visually Challenged People. -- Financial Data-Driven Classification of Manufacturing Companies: A Case Study of the Malaysian Industry. -- Smart Choices: How Computer Applications Shape Consumer Decisions on Household IoT Appliances. -- A Study on Augmented Reality’s Impact on Online Shopping in India: Enhancing Consumer Experience and Behaviour. -- Utilizing Digital Twins for Predictive Modelling in Manufacturing Cyber-Physical Systems. -- Multi-Sensor Data Fusion for Accurate Prediction of Suspicious Activities in Video. -- The Emergence of the Social Internet of Vehicles (SIoV): A Comprehensive Analysis of Architecture, Technologies, and Applications. -- Network and Cloud Computing -- Innovative Perceptions: A Survey on Named Data Networks through an Inventive Lens. -- Optimizing Resource Utilization and Performance in Multi-Cloud Infrastructures through Predictive AI Analytics. -- VANET Security through Blockchain based Location Verification: Innovation and Challenges. -- Classification and Analysis of Online Business Models: A Framework for Practical Application. -- A COMPREHENSIVE ANALYSIS ON LOW-ENERGY ADAPTIVE CLUSTERING IN UNDERWATER ACOUSTIC NETWORKS. -- Research Perspective on Load Balancing Strategies in Serverless Computing. -- Real-Time Node’s Power-Aware Kubernetes Scheduler in a Cloud Environment. -- EAPTEEN: ENERGY-AWARE ADAPTABLE ROUTING FOR CONTINUOUS MONITORING IN. |
| Record Nr. | UNINA-9910999794903321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
