[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-82576-en":3,"doc-seo-82576-105":29,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":13,"seo_description":14,"update_tm":27,"read_time":28},82576,34359740700684,"Finn","https://ap-avatar.wpscdn.com/avatar/1f400023980c374ae676?_k=1777273430885731487",8,"Research & Report","Toward a Unified Security and Privacy Framework for AI-Native 6G Networks","Sixth Generation (6G) networks are moving toward AI-native, autonomous ecosystems that unify communication, computing, sensing, and artificial intelligence. This convergence expands security and privacy risks across heterogeneous technologies and architectures that cannot be handled by isolated, technology-specific solutions. The survey investigates cross-layer security and privacy fragmentation, proposes a unified framework, builds a cross-layer threat taxonomy, and maps threats to countermeasures, including standards harmonization. It also highlights research gaps and future priorities for secure, privacy-preserving, trustworthy, globally interoperable 6G.","arXiv :2607 .0 10 19v 1 [ cs .CR] 1 Jul 2026  \nToward a Unified Security and Privacy Framework for AI-Native 6G Networks  \nBIDUSHI BARUA, Department of Computer Science, University of York, UK AHSAN KHAN, Department of Computer Science, University of York, UK KANGFENG YE, Department of Computer Science, University of York, UK  \nPANAGIOTIS PAPANASTASIOU, Department of Computer Science, University of York, UK YIFAN LIU, Department of Computer Science, University of York, UK  \nMOHIT BIDIKAR, Department of Computer Science, University of York, UK ANTHONY MOULDS, Department of Computer Science, University of York, UK JULIE MCCANN, Department of Computing, Imperial College London, UK POONAM YADAV, Department of Computer Science, University of York, UK  \nSixth 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 across-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.  \nCCS Concepts: • Networks → Network security; • Security and privacy → Distributed systems security; Privacy protections; • Computing methodologies → Machine learning.  \nAdditional Key Words and Phrases: 6G, AI-native networks, network security, privacy, artificial intelligence, threat taxonomy, security management, standards harmonization, zero trust, post-quantum cryptography  \n1 Introduction  \nWireless communication networks have evolved from voice-centric systems to intelligent, highly connected infrastructures supporting broadband services, massive machine-type communications, and ultra-reliable low-latency applications [77, 126] . Building upon this evolution, 6th Generation (6G) is envisioned as an AI-native network that  \nAuthors’ Contact Information: Bidushi Barua, Department of Computer Science, University of York, York, UK, [bidushi.barua@york.ac.uk](bidushi.barua@york.ac.uk); Ahsan Khan, Department of Computer Science, University of York, York, UK; Kangfeng Ye, Department of Computer Science, University of York, York, UK; Panagiotis Papanastasiou, Department of Computer Science, University of York, York, UK; Yifan Liu, Department of Computer Science, University of York, York, UK; Mohit Bidikar, Department of Computer Science, University of York, York, UK; Anthony Moulds, Department of Computer Science, University of York, York, UK; Julie McCann, Department of Computing, Imperial College London, York, UK; Poonam Yadav, Department of Computer Science, University of York, York, UK.  \n2026. Manuscript submitted to ACM  \nManuscript submitted to ACM 1  \n2 Barua, et al.  \nintegrates c","cbCaikJLkvvlmnhc","https://ap.wps.com/l/cbCaikJLkvvlmnhc","pdf",1139865,1,32,"English","en",105,"# Introduction\n# AI-Native 6G Vision and Challenges\n## Security and Privacy Fragmentation\n## Motivation for a Unified Framework","[{\"question\":\"Why is a unified security and privacy framework needed for AI-native 6G networks?\",\"answer\":\"AI-native 6G integrates communication, computing, sensing, and AI across heterogeneous technologies and infrastructures, creating interdependent security and privacy threats. Isolated, technology-specific solutions cannot address this fragmentation across layers and components.\"},{\"question\":\"What does the survey contribute regarding threat understanding in AI-native 6G?\",\"answer\":\"It develops a cross-layer threat taxonomy covering infrastructure, network and architectural aspects, AI, privacy, and security management domains. It also analyzes representative threats across key AI-native 6G technologies.\"},{\"question\":\"How are threats connected to defenses in the proposed approach?\",\"answer\":\"The survey maps cross-layer threats to corresponding cross-layer countermeasures, including the role of standards harmonization treated as a security function. It further identifies critical research gaps and future priorities for trustworthy 6G ecosystems.\"}]",1784181611,81,{"code":4,"msg":30,"data":31},"ok",{"site_id":24,"language":23,"slug":32,"title":13,"keywords":33,"description":14,"schema_data":34,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":27},"toward-a-unified-security-and-privacy-framework-for-ai-native-6g-networks","",{"@graph":35,"@context":85},[36,53,68],{"@type":37,"itemListElement":38},"BreadcrumbList",[39,43,47,50],{"item":40,"name":41,"@type":42,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":44,"name":45,"@type":42,"position":46},"https://docshare.wps.com/document/","Document",2,{"item":48,"name":12,"@type":42,"position":49},"https://docshare.wps.com/document/research-report/",3,{"item":51,"name":13,"@type":42,"position":52},"https://docshare.wps.com/document/toward-a-unified-security-and-privacy-framework-for-ai-native-6g-networks/82576/",4,{"url":51,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":23,"description":14,"dateModified":61,"datePublished":62,"encodingFormat":60,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":40,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-07-17","2026-07-16",true,{"@type":65,"interactionType":66,"userInteractionCount":20},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why is a unified security and privacy framework needed for AI-native 6G networks?","Question",{"text":75,"@type":76},"AI-native 6G integrates communication, computing, sensing, and AI across heterogeneous technologies and infrastructures, creating interdependent security and privacy threats. Isolated, technology-specific solutions cannot address this fragmentation across layers and components.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What does the survey contribute regarding threat understanding in AI-native 6G?",{"text":80,"@type":76},"It develops a cross-layer threat taxonomy covering infrastructure, network and architectural aspects, AI, privacy, and security management domains. It also analyzes representative threats across key AI-native 6G technologies.",{"name":82,"@type":73,"acceptedAnswer":83},"How are threats connected to defenses in the proposed approach?",{"text":84,"@type":76},"The survey maps cross-layer threats to corresponding cross-layer countermeasures, including the role of standards harmonization treated as a security function. 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