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The transition from 5G to 6G networks marks a significant leap in telecommunications technology, promising unparalleled data speeds, ultra-low latency, and tremendous connectivity. This evolution brings forth new opportunities and challenges, particularly in the realm of security. With the integration of Artificial Intelligence (AI) and Machine Learning (ML) into 6G networks, the landscape of cybersecurity is undergoing a transformation. These technologies offer robust mechanisms for threat detection and mitigation but also introduce new vulnerabilities and ethical considerations. This chapter explores the security challenges associated with 6G networks, examines the role of AI and ML in enhancing 6G security, reviews related research, and proposes a conceptual framework for integrating AI and ML into 6G security architectures.

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Advancements in AI and ML for Enhanced Security and Performance in 6G Networks

  • 章节

  • 发表日期：

    2025年

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  • Nidhi Umashankar,
  • K. Sai Geethanjali,
  • I. S. Rajesh,
  • M. A. Bharathi,
  • S. A. Karthik

摘要

The transition from 5G to 6G networks marks a significant leap in telecommunications technology, promising unparalleled data speeds, ultra-low latency, and tremendous connectivity. This evolution brings forth new opportunities and challenges, particularly in the realm of security. With the integration of Artificial Intelligence (AI) and Machine Learning (ML) into 6G networks, the landscape of cybersecurity is undergoing a transformation. These technologies offer robust mechanisms for threat detection and mitigation but also introduce new vulnerabilities and ethical considerations. This chapter explores the security challenges associated with 6G networks, examines the role of AI and ML in enhancing 6G security, reviews related research, and proposes a conceptual framework for integrating AI and ML into 6G security architectures.