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Full Description
The main objective of this book is to introduce cyber security using modern technologies such as Artificial Intelligence, Quantum Cryptography, and Blockchain. This book provides in-depth coverage of important concepts related to cyber security. Beginning with an introduction to Quantum Computing, Post-Quantum Digital Signatures, and Artificial Intelligence for cyber security of modern networks and covering various cyber-attacks and the defense measures, strategies, and techniques that need to be followed to combat them, this book goes on to explore several crucial topics, such as security of advanced metering infrastructure in smart grids, key management protocols, network forensics, intrusion detection using machine learning, cloud computing security risk assessment models and frameworks, cyber-physical energy systems security, a biometric random key generator using deep neural network and encrypted network traffic classification. In addition, this book provides new techniques to handle modern threats with more intelligence. It also includes some modern techniques for cyber security, such as blockchain for modern security, quantum cryptography, and forensic tools. Also, it provides a comprehensive survey of cutting-edge research on the cyber security of modern networks, giving the reader a general overview of the field. It also provides interdisciplinary solutions to protect modern networks from any type of attack or manipulation. The new protocols discussed in this book thoroughly examine the constraints of networks, including computation, communication, and storage cost constraints, and verifies the protocols both theoretically and experimentally. Written in a clear and comprehensive manner, this book would prove extremely helpful to readers. This unique and comprehensive solution for the cyber security of modern networks will greatly benefit researchers, graduate students, and engineers in the fields of cryptography and network security.
Contents
Preface. Acknowledgments. Editors. List of Contributors. Chapter 1 Quantum Computing: A Global Scenario. Chapter 2 Post-Quantum Digital Signatures. Chapter 3 Analysis of Quantum Computing with Food Processing Use Case. Chapter 4 Security of Modern Networks and Its Challenges. Chapter 5 Security and Performance Analysis of Advanced Metering Infrastructure in Smart Grid and Use of Blockchain in Security Perspective. Chapter 6 Computation and Storage Efficient Key Distribution Protocol for Secure Multicast Communication in Centralized Environments. Chapter 7 Effective Key Agreement Protocol for Large and Dynamic Groups Using Elliptic Curve Cryptography. Chapter 8 Cyber Security Using Artificial Intelligence. Chapter 9 Cloud Computing: An Overview of Security Risk Assessment Models and Frameworks. Chapter 10 Generating Cyber Threat Intelligence to Discover Potential Security Threats Using Classification and Topic Modeling. Chapter 11 Cyber-Physical Energy Systems Security: Attacks, Vulnerabilities and Risk Management. Chapter 12 Intrusion Detection Using Machine Learning. Chapter 13 Network Forensics. Chapter 14 A Deep Neural Network-Based Biometric Random Key Generator for Security Enhancement. Chapter 15 Quantum Computing and Its Real-World Applications. Chapter 16 Encrypted Network Traffic Classification and Application Identification Employing Deep Learning. Index.
