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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. | UNINA-9910644261503321 |
| Cham, Switzerland : , : 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 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 | 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. | UNINA-9910644266803321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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