
Cyber Security for Next-Generation Computing Technologies
- 314 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Cyber Security for Next-Generation Computing Technologies
About this book
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
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Information
Table of contents
- 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