{"ID":5551623,"CreatedAt":"2026-07-02T01:54:51.863792489Z","UpdatedAt":"2026-07-04T14:41:19.486384794Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.01019","arxiv_id":"2607.01019","title":"Toward a Unified Security and Privacy Framework for AI-Native 6G Networks","abstract":"Sixth Generation (6G) communication networks are expected to evolve into AI-native, highly autonomous ecosystems that integrate communication, computing, sensing, and artificial intelligence. While these capabilities enable unprecedented connectivity and intelligent services, they also create a highly heterogeneous security and privacy landscape that cannot be addressed through isolated, technology-specific solutions. This paper presents a comprehensive survey of security and privacy in AI-native 6G networks from a cross-layer perspective. We first examine the fragmentation of existing security and privacy approaches across emerging technologies, network architectures, AI systems, and standardization efforts, motivating the need for a unified security and privacy framework. Building upon this framework, we develop a cross-layer threat taxonomy encompassing infrastructure, network and architectural, AI, privacy, and security management domains, and analyze representative threats across key AI-native 6G technologies. Furthermore, we map these threats to corresponding cross-layer countermeasures, including standards harmonization as a security function, and identify critical research gaps and future priorities for secure, interoperable, and trustworthy AI-native 6G ecosystems. Finally, we discuss future research directions toward realizing secure, privacy-preserving, resilient, and globally interoperable 6G networks. This survey provides researchers, practitioners, and standardization communities with a holistic foundation for the design, evaluation, and deployment of trustworthy AI-native 6G systems.","short_abstract":"Sixth Generation (6G) communication networks are expected to evolve into AI-native, highly autonomous ecosystems that integrate communication, computing, sensing, and artificial intelligence. While these capabilities enable unprecedented connectivity and intelligent services, they also create a highly heterogeneous sec...","url_abs":"https://arxiv.org/abs/2607.01019","url_pdf":"https://arxiv.org/pdf/2607.01019v1","authors":"[\"Bidushi Barua\",\"Ahsan Khan\",\"Kangfeng Ye\",\"Panagiotis Papanastasiou\",\"Yifan Liu\",\"Mohit Bidikar\",\"Anthony Moulds\",\"Julie McCann\",\"Poonam Yadav\"]","published":"2026-07-01T14:52:04Z","proceeding":"cs.CR","tasks":"[\"cs.CR\"]","methods":"[]","has_code":false}