CRC Press, 2021. — 294 p. — ISBN: 9781003018636.
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.
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
Trust-Aware Crowd Associated Network-Based Approach for Optimal Waste Management in Smart Cities