This book sheds light on the cyber security challenges associated with nextgeneration computing technologies, emphasizing the serious threats posed to individuals, businesses, and nations. With everything becoming increasingly interconnected via the Internet, data security becomes paramount. As technology advances, people need to secure their data communication processes. Personal data security, including data integrity and confidentiality, is particularly vulnerable. Therefore, the concept of cyber security forensics emerges to ensure data security for everyone, addressing issues such as data control, hijacking, and threats to personal devices such as mobile phones, laptops, and other smart technologies. This book covers key topics related to cyber security in next-generation computing technologies, ultimately enhancing the quality of life for citizens, facilitating interaction with smart governments, and promoting secure communication processes.
KEY FEATURES
• Highlights innovative principles and practices using next generation computing technologies based cybersecurity.
• Presents an introduction to recent trends regarding the convergence of AI/ML in cybersecurity
• Offers an overview of theoretical, practical, simulation concepts of cybersecurity
Author(s): Inam Ullah Khan
Publisher: CRC Press
Year: 2023
Language: English
Pages: 328
Cover
Half Title
Title
Copyright
Contents
Preface
About the Editors
List of Contributors
Chapter 1 Cyber Security: Future Trends and Solutions
Chapter 2 Security and Intelligent Management: Survey
Chapter 3 Comparative Analysis of Machine and Deep Learning for Cyber Security
Chapter 4 AI-Based Secure Wireless Communication Technologies and Cyber Threats for IoT Networks
Chapter 5 Cyber Threat Actors Review: Examining the Tactics and Motivations of Adversaries in the Cyber Landscape
Chapter 6 Layer-Based Security Threats in IoT Networks
Chapter 7 Intrusion Detection System Using AI and Machine Learning Algorithm
Chapter 8 Signature-Based Intrusion Detection System for IoT
Chapter 9 Hybrid Model for IoT-Enabled Intelligent Towns Using the MQTT-IoT-IDS2020 Dataset
Chapter 10 Cyber Security for Edge/Fog Computing Applications
Chapter 11 Cyber Attacks Against Intelligent Transportation Systems
Chapter 12 Intelligent Transportation Systems for IoT-Based UAV Networks
Chapter 13 Cyber Attack Detection Analysis Using Machine Learning for IoT-Based UAV Network
Chapter 14 Blockchain Solutions for Cyber Criminals
Chapter 15 Blockchain Security Measures to Combat Cyber Crime
Chapter 16 AI Classification Algorithms for Human Activities Recognition System With a Cyber Security Perspective
