eBook - Cybersecurity in Intelligent Networking Systems

  • ISBN: 9789373329468
  • 144 pages

Available Exclusively as an eBook | Part of the AI eBook Collection | Only for Institutional Purchase | Publication Year: 2023

Description

Cybersecurity in Intelligent Networking Systems provides a comprehensive introduction to data-driven cybersecurity, privacy preservation, and adversarial machine learning. It explores technologies and applications for protecting modern network systems through edge-enabled AI, threat intelligence, and encryption-based protocols, addressing unauthorized access, cyber threats, and information privacy for professionals and researchers.

About the Author

Shengjie Xu is an Assistant Professor in the Management Information Systems Department at San Diego State University, USA; Yi Qian is a Professor in the Department of Electrical and Computer Engineering at the University of Nebraska-Lincoln, USA; Rose Qingyang Hu is a Professor with the Electrical and Computer Engineering Department and the Associate Dean for Research of the College of Engineering, Utah State University, USA.

Table of Contents

1 Cybersecurity in the Era of Artificial Intelligence

2 Cyber Threats and Gateway Defense

3 Edge Computing and Secure Edge Intelligence

4 Edge Intelligence for Intrusion Detection

5 Robust Intrusion Detection

6 Efficient Preprocessing Scheme for Anomaly Detection

7 Privacy Preservation in the Era of Big Data

8 Adversarial Examples: Challenges and Solutions

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