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Full Description
This book aims to provide the latest research developments and results in the domain of AI techniques for smart cyber ecosystems. It presents a holistic insight into AI-enabled theoretic approaches and methodology in IoT networking, security analytics using AI tools and network automation, which ultimately enable intelligent cyber space. This book will be a valuable resource for students, researchers, engineers and policy makers working in various areas related to cybersecurity and privacy for Smart Cities.
This book includes chapters titled "An Overview of the Artificial Intelligence Evolution and Its Fundamental Concepts, and Their Relationship with IoT Security", "Smart City: Evolution and Fundamental Concepts", "Advances in AI-Based Security for Internet of Things in Wireless Virtualization Environment", "A Conceptual Model for Optimal Resource Sharing of Networked Microgrids Focusing Uncertainty: Paving Path to Eco-friendly Smart Cities", "A Novel Framework for a Cyber Secure Smart City", "Contemplating Security Challenges and Threats for Smart Cities", "Self-Monitoring Obfuscated IoT Network", "Introduction to Side Channel Attacks and Investigation of Power Analysis and Fault Injection Attack Techniques", "Collaborative Digital Forensic Investigations Model for Law Enforcement: Oman as a Case Study", "Understanding Security Requirements and Challenges in the Industrial Internet of Things: A Review", "5G Security and the Internet of Things", "The Problem of Deepfake Videos and How to Counteract Them in Smart Cities", "The Rise of Ransomware Aided by Vulnerable IoT Devices", "Security Issues in Self-Driving Cars within Smart Cities", and "Trust-Aware Crowd Associated Network-Based Approach for Optimal Waste Management in Smart Cities".
This book provides state-of-the-art research results and discusses current issues, challenges, solutions and recent trends related to security and organization within IoT and Smart Cities. We expect this book to be of significant importance not only to researchers and practitioners in academia, government agencies and industries, but also for policy makers and system managers. We anticipate this book to be a valuable resource for all those working in this new and exciting area, and a "must have" for all university libraries.
Contents
Chapter 1 An Overview of the Artificial Intelligence Evolution and its Fundamental Concepts, and their relationship with IoT Security
Chapter 2 Smart City: Evolution and fundamental concepts
Chapter 3 Advances in AI-Based Security for Internet of Things in Wireless Virtualization Environment
Chapter 4 A conceptual model for optimal resource sharing of networked microgrids focusing uncertainty - paving path to eco-friendly smart cities
Chapter 5 A Novel Framework for Cyber Secure Smart City
Chapter 6 Contemplate Security Challenges & Threats for Smart Cities
Chapter 7 Self-Monitoring Obfuscated IoT Network
Chapter 8 Introduction to Side Channel Attacks and Investigation of Power Analysis & Fault Injection Attack Techniques
Chapter 9 Collaborative Digital Forensic Investigations Model for Law Enforcement: Oman as a Case Study
Chapter 10 Internet of Things Security and Privacy in Smart Cities: Status and Challenges
Chapter 11 5G Security and the Internet of Things
Chapter 12 The Problem of Deepfake Videos and How to Counteract Them in Smart Cities
Chapter 13 The Rise of Ransomware aided by Vulnerable IoT devices
Chapter 14 Security Issues in Self-Driving Cars within Smart Cities
Chapter 15 PhishFree: A Honeybee Inspired System for Smart City Free of Phishing Attacks
Chapter 16 Trust Aware Crowd Associated Network-based Approach for Optimal Waste Management in Smart Cities
