Info
Artificial Intelligence and Cyber Security in Industry 4.0 [[electronic resource] /] / edited by Velliangiri Sarveshwaran, Joy Iong-Zong Chen, Danilo Pelusi
| Artificial Intelligence and Cyber Security in Industry 4.0 [[electronic resource] /] / edited by Velliangiri Sarveshwaran, Joy Iong-Zong Chen, Danilo Pelusi |
| Autore | Sarveshwaran Velliangiri |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (374 pages) |
| Disciplina | 658.4038028563 |
| Altri autori (Persone) |
ChenJoy Iong-zong
PelusiDanilo |
| Collana | Advanced Technologies and Societal Change |
| Soggetto topico |
Artificial intelligence
Internet of things Big data Machine learning Computational intelligence Wireless communication systems Mobile communication systems Artificial Intelligence Internet of Things Big Data Machine Learning Computational Intelligence Wireless and Mobile Communication |
| ISBN | 981-9921-15-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Artificial Intelligence and Cyber Security for Industry -- Role of AI and its impact on the development of cyber security applications -- AI and IoT in Manufacturing and related Security Perspectives for Industry 4.0 -- IoT Security Vulnerabilities and Defensive Measures in Industry 4.0 -- Adopting Artificial Intelligence in ITIL for Information Security Management - Way forward in Industry 4.0 -- Intelligent Autonomous Drones in Industry 4.0 -- A review on automatic generation of attack trees and its application to automotive cybersecurity -- Malware Analysis using Machine Learning Tools and Techniques in IT Industry -- USE OF MACHINE LEARNING IN FORENSICS AND COMPUTER SECURITY -- Control of feed drives in CNC machine tools using artificial immune adaptive strategy -- Efficient Anomaly Detection for Empowering Cyber Security by Using Adaptive Deep Learning Model -- Intrusion Detection in IoT based Healthcare Using ML and DL approaches: A Case Study -- War Strategy Algorithm based GAN model for Detecting the Malware Attacks in Modern Digital Age -- ML algorithms for providing financial security in banking sectors with the prediction of loan risks -- Machine Learning based DDoS Attack Detection using Support Vector Machine -- Artificial Intelligence based Cyber Security Applications. |
| Record Nr. | UNISA-996546840703316 |
Sarveshwaran Velliangiri
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Artificial Intelligence and Cyber Security in Industry 4.0 / / edited by Velliangiri Sarveshwaran, Joy Iong-Zong Chen, Danilo Pelusi
| Artificial Intelligence and Cyber Security in Industry 4.0 / / edited by Velliangiri Sarveshwaran, Joy Iong-Zong Chen, Danilo Pelusi |
| Autore | Sarveshwaran Velliangiri |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (374 pages) |
| Disciplina | 658.4038028563 |
| Altri autori (Persone) |
ChenJoy Iong-zong
PelusiDanilo |
| Collana | Advanced Technologies and Societal Change |
| Soggetto topico |
Artificial intelligence
Internet of things Big data Machine learning Computational intelligence Wireless communication systems Mobile communication systems Artificial Intelligence Internet of Things Big Data Machine Learning Computational Intelligence Wireless and Mobile Communication |
| ISBN |
9789819921157
9819921155 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Artificial Intelligence and Cyber Security for Industry -- Role of AI and its impact on the development of cyber security applications -- AI and IoT in Manufacturing and related Security Perspectives for Industry 4.0 -- IoT Security Vulnerabilities and Defensive Measures in Industry 4.0 -- Adopting Artificial Intelligence in ITIL for Information Security Management - Way forward in Industry 4.0 -- Intelligent Autonomous Drones in Industry 4.0 -- A review on automatic generation of attack trees and its application to automotive cybersecurity -- Malware Analysis using Machine Learning Tools and Techniques in IT Industry -- USE OF MACHINE LEARNING IN FORENSICS AND COMPUTER SECURITY -- Control of feed drives in CNC machine tools using artificial immune adaptive strategy -- Efficient Anomaly Detection for Empowering Cyber Security by Using Adaptive Deep Learning Model -- Intrusion Detection in IoT based Healthcare Using ML and DL approaches: A Case Study -- War Strategy Algorithm based GAN model for Detecting the Malware Attacks in Modern Digital Age -- ML algorithms for providing financial security in banking sectors with the prediction of loan risks -- Machine Learning based DDoS Attack Detection using Support Vector Machine -- Artificial Intelligence based Cyber Security Applications. |
| Record Nr. | UNINA-9910731481703321 |
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Sarveshwaran Velliangiri
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational intelligence in data mining : proceedings of ICCIDM 2021 / / Janmenjoy Nayak [and four others], editors
| Computational intelligence in data mining : proceedings of ICCIDM 2021 / / Janmenjoy Nayak [and four others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (757 pages) |
| Disciplina | 006.3 |
| Collana | Smart innovation, systems, and technologies |
| Soggetto topico |
Computational intelligence
Data mining |
| Soggetto non controllato | Mathematics |
| ISBN |
981-16-9446-X
981-16-9447-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743230403321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Data Mining : Proceedings of the International Conference on ICCIDM 2018 / / edited by Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi
| Computational Intelligence in Data Mining : Proceedings of the International Conference on ICCIDM 2018 / / edited by Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (789 pages) |
| Disciplina | 006.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Data mining Artificial intelligence Computational Intelligence Data Mining and Knowledge Discovery Artificial Intelligence |
| ISBN | 981-13-8676-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cluster Validity using Modified Fuzzy Silhouette Index on Large Dynamic Data Set -- Graph Based Crime Reports Clustering using Relations Extracted from Named Entities -- A Comprehensive Analysis of Kernelized Hybrid Clustering Algorithms With Firefly and Fuzzy Firefly Algorithms -- A Novel Position Concealment Audio Steganography in Insensible Frequency -- Improving Stock Market Prediction through Linear Combiners of Predictive Models -- Optimizing Generalized Capacitated Vehicle Routing problem using Augmented Savings Algorithm -- Prevention of Ethnic Violence and Riots using Supervised Rumor Detection -- Survey on Plagiarism Detection Systems and their Comparison -- A Generic Frame Work for Data Analysis in Privacy Preserving Data Mining -- Big Data Mining Algorithms for Predicting Dynamic Product Price by Online Analysis -- Short Term Solar Energy Forecasting By using Fuzzy Logic and ANFIS -- An Effective Trajectory Planning for a Material Handling Robot using PSO Algorithm -- Prediction of Arteriovenous Nicking for Hypertensive Retinopathy using Deep Learning -- Evolutionary Games for Cloud, Fog and Edge Computing – A Comprehensive Study. |
| Record Nr. | UNINA-9910484042003321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Pattern Recognition : Proceedings of CIPR 2024, Volume 1 / / edited by Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, M. Himabindu, S. Vimal, Danilo Pelusi
| Computational Intelligence in Pattern Recognition : Proceedings of CIPR 2024, Volume 1 / / edited by Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, M. Himabindu, S. Vimal, Danilo Pelusi |
| Autore | Das Asit Kumar |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (766 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
NayakJanmenjoy
NaikBighnaraj HimabinduM VimalS PelusiDanilo |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Image processing - Digital techniques Computer vision Computer networks - Security measures Computational Intelligence Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Mobile and Network Security |
| ISBN | 9789819780907 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910984590103321 |
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Das Asit Kumar
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Pattern Recognition : Proceedings of CIPR 2023 / / edited by Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, S. Vimal, Danilo Pelusi
| Computational Intelligence in Pattern Recognition : Proceedings of CIPR 2023 / / edited by Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, S. Vimal, Danilo Pelusi |
| Autore | Das Asit Kumar |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (748 pages) |
| Disciplina | 006.4 |
| Altri autori (Persone) |
NayakJanmenjoy
NaikBighnaraj VimalS PelusiDanilo |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Image processing - Digital techniques Computer vision Artificial intelligence Computer networks - Security measures Computational Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence Mobile and Network Security |
| ISBN |
9789819937349
9819937345 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A New Technique of Cipher Type Identification using Convolutional Neural Networks -- Monthly Rainfall forecasting Using Sequential Models -- Detection and Classification of Dental Caries Using Deep and Transfer Learning -- Method Level Code Smells Detection Using Machine Learning Models -- Performance Investıgatıon of Svm and Modıfıed Svm Algorıthms for Acute Health Dıagnosıs -- An Efficient Multifactor Authentication System -- A CNN based approach for Face Recognition under dif-ferent orientations -- A Deep Learning Approach for Detection of Disease in Plant Leaves -- Label Consistency based Modified Sequential Dictionary Learning based Approach for PIR Sensor based Detection of Human Movement Direction -- Machine Learning Based Phishing Detection in Heterogeneous Information Network. |
| Record Nr. | UNINA-9910742496203321 |
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Das Asit Kumar
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Pattern Recognition : Proceedings of CIPR 2021
| Computational Intelligence in Pattern Recognition : Proceedings of CIPR 2021 |
| Autore | Das Asit Kumar |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
| Descrizione fisica | 1 online resource (756 pages) |
| Altri autori (Persone) |
NayakJanmenjoy
NaikBighnaraj DuttaSoumi PelusiDanilo |
| Collana | Advances in Intelligent Systems and Computing Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-16-2543-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Computational Intelligence in Pattern Recognition |
| Record Nr. | UNINA-9910497095603321 |
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Das Asit Kumar
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| Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Pattern Recognition : Proceedings of CIPR 2024, Volume 2 / / edited by Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, Hima Bindu Maringanti, S. Vimal, Danilo Pelusi
| Computational Intelligence in Pattern Recognition : Proceedings of CIPR 2024, Volume 2 / / edited by Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, Hima Bindu Maringanti, S. Vimal, Danilo Pelusi |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XXIX, 682 p. 294 illus., 230 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Image processing - Digital techniques Computer vision Computer networks - Security measures Computational Intelligence Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Mobile and Network Security |
| ISBN | 981-9780-93-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intelligent Algorithms for Pattern Recognition -- Application of Computational Intelligence -- Advance Computing. |
| Record Nr. | UNINA-9911007495403321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Pattern Recognition : Proceedings of CIPR 2019 / / edited by Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, Soumen Kumar Pati, Danilo Pelusi
| Computational Intelligence in Pattern Recognition : Proceedings of CIPR 2019 / / edited by Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, Soumen Kumar Pati, Danilo Pelusi |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (1,023 pages) |
| Disciplina | 006.4 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Optical data processing Data mining Computational Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Data Mining and Knowledge Discovery |
| ISBN | 981-13-9042-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Feature Selection using NSGA-II for Event Extraction on Genetic and Molecular Mechanisms Involved in Plant Seed Development -- An Improved Data Hiding Scheme through Image Interpolation -- Generalization Of Multi-bit Encoding Function based Data Hiding Scheme -- A Study on Reversible Image Watermarking Using Xilinx System Generator -- Statistical Analysis of the UNSW-NB15 Dataset for Intrusion Detection -- Singer Identification using MFCC and CRP features with Support Vector Machines -- Numerical Integration based Contrast Enhancement using Simpson’s Method -- Empirical Analysis of Proximity Measures in Machine Learning -- Music Tagging and Similarity Analysis for Recommendation System -- Elastic Window for Multiple Face Detection and Tracking from Video -- Efficient Energy Management in Microgrids using Flower Pollination Algorithm -- Automatic Multilingual System from Speech. |
| Record Nr. | UNINA-9910483576103321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Pattern Recognition : Proceedings of CIPR 2020 / / edited by Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, Soumi Dutta, Danilo Pelusi
| Computational Intelligence in Pattern Recognition : Proceedings of CIPR 2020 / / edited by Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, Soumi Dutta, Danilo Pelusi |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xxvii, 596 pages) : illustrations |
| Disciplina | 006.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Optical data processing Data mining Computational Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Data Mining and Knowledge Discovery |
| ISBN | 981-15-2449-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Inference Based Statistical Analysis for Suspicious Activity Detection Using Facial Analysis -- A Conceptual Approach for Framework to Design Radar System Using Arduino with Initial Experiments -- Stratification of Indian Dance Forms through Audio Signal -- Forecasting House Price with an Optimum Set of Features -- Deep Learning based Automated Feature Engineering for Rice Leaf Disease Prediction -- Feature Extraction and Disease Prediction from Paddy Crops Using Data Mining Techniques -- A Proposed Gene Selection Approach for Disease Detection -- Modern Trends in Monitoring and Analysis of Chemical Pesticides by Using Artificial Neural Networks -- Raw Data Redundancy Elimination on Cloud Database -- Secured Cloud System Using Deep Learning -- Golf-worm Swarm Optimized 2DOF-PIDN controller for Frequency Regulation of Hybrid Power System. |
| Record Nr. | UNINA-9910483250003321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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