Chen Y. Network Security Empowered by Articial Intelligence 2024

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Chen Y. Network Security Empowered by Articial Intelligence 2024

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Textbook in PDF format Information assurance in network science must provide authentic, accurate, secure, reliable, and timely information to warfighters to achieve information dominance, regardless of threat conditions. Computing and information processes may be carried out over distributed and heterogeneous systems, which may include mobile edge, mobile computing and communications systems, and high-performance infor mation process systems that are inter-connected through both tactical and strategic communication and network systems. The advancement of artificial intelligence (AI) and machine learning (ML) has led to new opportunities for efficient tactical communication and network systems but also brought in new vulnerabilities. The topics of this book will be futuristic and forward-looking on security in spectrum management, mobile networks, and next-generation wireless networks in the era of AI/ML. Topics include, but are not limited to, robust and trusted wireless and mobile networks, models and metrics for next-generation robust systems, cyber deception, the principle of moving target defense, trusted learning for cyber autonomy, spectrum management, and network forensics. Preface Part I Architecture Innovations and Security in 5G Networks nCore: Clean Slate Next-G Mobile Core Network Architecture for Scalability and Low Latency Decision-Dominant Strategic Defense Against Lateral Movement for 5G Zero-Trust Multi-Domain Networks Part II Security in Artificial Intelligence-Enabled Intrusion Detection Systems Artificial Intelligence and Machine Learning for Network Security: Quo Vadis? Understanding the Ineffectiveness of the Transfer Attack in Intrusion Detection System Advanced ML/DL-Based Intrusion Detection Systems for Software-Defined Networks Part III Attack and Defense in Artificial Intelligence-Enabled Wireless Systems Deep Learning for Robust and Secure Wireless Communications Universal Targeted Adversarial Attacks Against mmWave-Based Human Activity Recognition Adversarial Machine Learning for Wireless Localization Localizing Spectrum Offenders Using Crowdsourcing Adversarial Online Reinforcement Learning Under Limited Defender Resources Part IV Security in Network-Enabled Applications Security and Privacy of Augmented Reality Systems Securing Augmented Reality Applications On the Robustness of Image-Based Malware Detection Against Adversarial Attacks The Cost of Privacy: A Comprehensive Analysis of the Security Issues in Federated Learning Lessons Learned and Future Directions for Security, Resilience and Artificial Intelligence in Cyber Physical Systems