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AI-Based Security Enhancement and Personal Information Protection Techniques Inherited from 6G Networks

Authors

Kwang-Man Ko, Chul-Long Kim, Jun-Seop Lim, Seong-Won Kim and Byung-Suk Seo, Sangji University, Republic of Korea

Abstract

As the realization of digital transformation expected with 5G networks has already begun and continue to evolve over this decade, the 6G communication era envisions how humans will interact with the digital virtual worlds beyond 2030. The security mechanisms designed for 5G using the concepts of SDN and NFV should be further improved to cater to the security demands in 6G networks. When 6G networks are harmonizing the concepts of SDN, NFV, and AI in an integrated environment to provide the necessary services, the system-level differences between 5G and 6G would introduce new security threats and privacy concerns. This paper aims to identify and systematically analyze new security threats and privacy concerns of 5G technologies inherited from 6G networks. The corresponding 6G-specific defenses will also be investigated.

Keywords

5G Networks, 6G Networks, Security and Privacy, Machine Learning.