Description
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
Table of Contents
Chapter 1 Cyber Security: Future Trends and Solutions
Syed Immamul Ansarullah, Mudasir Manzoor Kirmani, Ziema Mushtaq, and Gowhar Mohi ud din Dar
Chapter 2 Security and Intelligent Management: Survey
Zaigham Abbas, Abdul Qahar Shahzad, Muhammad Yaseen Ayub, and Muhammad Allah Rakha
Chapter 3 Comparative Analysis of Machine and Deep Learning for Cyber Security
Hafsa Maryam, Syeda Zillay Nain Zukhraf, and Rehmat Ullah
Chapter 4 AI-Based Secure Wireless Communication Technologies and Cyber Threats for IoT Networks
Usman Haider, Bakhtawar Nawaal, Inam Ullah Khan, and Salma El Hajjami
Chapter 5 Cyber Threat Actors Review: Examining the Tactics and Motivations of Adversaries in the Cyber Landscape
Zakaria Abou El Houda
Chapter 6 Layer-Based Security Threats in IoT Networks
Muna Muhammad, Ahthasham Sajid, and Hira Arshad
Chapter 7 Intrusion Detection System Using AI and Machine Learning Algorithm
Muhammad Tehmasib Ali Tashfeen
Chapter 8 Signature-Based Intrusion Detection System for IoT
Bakhtawar Nawaal, Usman Haider, Inam Ullah Khan, and Muhammad Fayaz
Chapter 9 Hybrid Model for IoT-Enabled Intelligent Towns Using the MQTT-IoT-IDS2020 Dataset
Zupash, Muhammad Allah Rakha, Inam Ullah Khan, Mariya Ouaissa, Mariyam Ouaissa, and Muhammad Yaseen Ayub
Chapter 10 Cyber Security for Edge/Fog Computing Applications
Hanane Lamaazi
Chapter 11 Cyber Attacks Against Intelligent Transportation Systems
Muhammad Usama, Ubaid Ullah, and Ahthasham Sajid
Chapter 12 Intelligent Transportation Systems for IoT-Based UAV Networks
Mamoona Jamil, Usman Haider, Inam Ullah Khan, and Tarandeep Kaur Bhatia
Chapter 13 Cyber Attack Detection Analysis Using Machine Learning
for IoT-Based UAV Network
Tehmasib Ali Tashfeen, Tarandeep Kaur Bhatia, and Inam Ullah Khan
Chapter 14 Blockchain Solutions for Cyber Criminals
Vijendra Kumar Maurya, Denis Jangeed, Latif Khan, and Bhupendra Kumar Soni
Chapter 15 Blockchain Security Measures to Combat Cyber Crime Rahmeh Ibrahim and Qasem Abu Al-Haija
Chapter 16 AI Classification Algorithms for Human Activities Recognition System With a Cyber Security Perspective
Fahad Naveed, Shahbaz Ali Imran, Aftab Alam Janisar, Aliyu Yusuf, Salman Khan, and Inam Ullah Khan
