Название: Intelligent Cyber-Physical Systems Security for Industry 4.0: Applications, Challenges and Management
Автор: Jyoti Sekhar Banerjee, Siddhartha Bhattacharyya, Ahmed J Obaid
Издательство: CRC Press
Год: 2022
Страниц: 284
Язык: английский
Формат: pdf (true)
Размер: 20.26 MB

Intelligent Cyber-Physical Systems Security for Industry 4.0: Applications, Challenges and Management presents new cyber-physical security findings for Industry 4.0 using emerging technologies like Artificial Intelligence (with machine/deep learning), data mining, applied mathematics. All these are the essential components for processing data, recognizing patterns, modeling new techniques, and improving the advantages of Data Science.

In recent years, we have witnessed an exponential growth in the development and deployment of various types of cyber-physical systems (CPS). They have brought impacts to almost all aspects of our daily life, for instance, in electrical power grids, oil and natural gas distribution, transportation systems, healthcare devices, household appliances, and many more. Many of such systems are deployed in the critical infrastructure and life support devices or are essential to our daily lives. Therefore, they are expected to be free of vulnerabilities and immune to all types of attacks, which, unfortunately, is practically impossible for all real-world systems.

With the exponential growth of CPS, new security challenges have emerged. Various vulnerabilities, threats, attacks, and controls have been introduced for the new generation of CPS. However, there is a lack of a systematic study of CPS security issues. In particular, the heterogeneity of CPS components and the diversity of CPS systems have made it very difficult to study the problem with a narrow span.

Both intelligent cyber-physical systems and Industry 4.0 are the most promising fields of research nowadays. Security is perhaps the biggest challenge to maintain systems secure in this digital world. The fourth industrial revolution (Industry 4.0) is closely related to intelligent CPS security issues. This book introduces new outcomes in intelligent CPS security for Industry 4.0, its possible applications, challenges, and management for different domains.

With the abundance of digital text in social media, text steganography has become a lucrative approach for hidden communication. Different text steganography methods have been proposed in recent days but nothing is found for automation of existing manual cover text selection. Chapter 3 presents an automated cover selection system with an aim of faster stego-text generation. The different attributes of secret texts along with the requirement study of chosen stego-algorithms with the application of fuzzy clustering helps in finding the most accurate cover text from a pre-collected cover-text-bank. An interactive system has been designed in this regard, considering stego-algorithms and secret texts as input. A threshold secret text vector is generated by analyzing the inputs and cover text vectors are also obtained from each cover text of the cover-text-bank. The fuzzy clustering method finally finds the closest cover text that is able to hide the chosen secret text using the chosen stego-algorithm. The proposed method is experimentally tested and verified to be an accurate and effective one.

Features:

• Presents an integrated approach with Cyber-Physical Systems, CPS security, and Industry 4.0 in one place
• Exposes the necessity of security initiatives, standards, security policies, and procedures in the context of industry 4.0
• Suggests solutions for enhancing the protection of 5G and the Internet of Things (IoT) security
• Promotes how optimization or intelligent techniques envisage the role of artificial intelligence-machine/deep learning (AI-ML/DL) in cyberphysical systems security for industry 4.0

This book is primarily aimed at graduates, researchers and professionals working in the field of security. Executives concerned with security management, knowledge dissemination, information, and policy development for data and network security in different educational, government, and non-government organizations will also find this book useful.

Table of Contents:

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 Capabilities 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.