AI-Driven Security and Privacy in 5G/6G Networks and Internet of Things

Dear Colleagues,

The 5G/6G networks are rapidly expanding around the world, enabling the connection of millions of IoT devices, both residential and commercial. The advancement of 5G has introduced innovative network architecture frameworks and improved physical data rates, allowing for a significant increase in mobile devices and the development of new ecological systems for the implementation of novel technologies and services.

The pervasiveness of the IoT and the massive security vulnerabilities it has created necessitate smart security mechanisms that achieve real-time, automated Intrusion Detection System (IDS), malware detection, and data authenticity and integrity protection in such networks. AI technologies, particularly machine learning and deep learning, empower real-time analysis of massive amounts of network traffic data generated in 5G and beyond networks, as well as provide efficient security and privacy to data protection. When combined with virtualization technology and heterogeneous network systems, AI tools will aid in optimizing the efficiency of these networks in the face of extensive security barriers. Self-managing systems can be generated by AI, but adversarial intrusions into the algorithms could reduce success and destabilize system operations.

This Special Issue seeks original contributions dealing with 5G/6G communication network security issues such as IDS, network malware detection, code obfuscation (but not limited to).

Dr. Farhan Ullah
Dr. Xiaochun Cheng
Guest Editors

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