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This book presents new cyber-physical security findings for Industry 4.0 using emerging technologies like Artificial Intelligence, Data Mining and Applied Mathematics which are the essential components for processing data, recognizing patterns, modelling new techniques and improving the advantages of the Data Science more.
Table des matières
1. Intelligent Cyber-Physical Systems Security for Industry 4.0: An Introduction.
2. Issues in Authentication in Augmented Reality Systems.
3. An Automated Cover Text Selection System for Text Steganography Algorithms.
4. Cyber Attacks and Countermeasures in RPL-based Industrial Internet of Things.
5. Cyber Physical Attacks and IoT.
6. Chaos Based Advanced Encryption Algorithm Using Affine Transformation in S-Box and its Implementation in FPGA.
7. Cyber-Physical Systems Attacks and Countermeasures.
8. Deep Learning Methods to Resolve Cyber Security Issues.
9. Application of Temporal Logic for Construction of Threat Models for Intelligent Cyber-Physical Systems.
10. Software-Defined Network Security.
11. A Review on AI-ML based Cyber-Physical Systems Security for Industry 4.0
12. Triangulation Augmented AI-Algorithm for Achieving Intelligent Flight Stabilizing Performance CapabilitiesBibhorr, Chirag R. Anand.
13. Forecasting based Authentication Schemes for Network Resource Management in Vehicular Communication Network.
14. Intelligent Cyber-Physical Systems Security for Industry 4.0: Concluding Remarks.
A propos de l'auteur
Jyoti Sekhar Banerjee, Wei-Chang Yeh
Résumé
This book presents new cyber-physical security findings for Industry 4.0 using emerging technologies like Artificial Intelligence, Data Mining and Applied Mathematics which are the essential components for processing data, recognizing patterns, modelling new techniques and improving the advantages of the Data Science more.
