Intellicise Wireless Networks Meet Agentic AI: A Security and Privacy Perspective
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arXiv
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| Autori principali: | , , , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866915801440714752 |
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| author | Meng, Rui Zhang, Zhidi Gao, Song Wang, Yaheng Xu, Xiaodong Lin, Yijing Liu, Yiming Feng, Chenyuan Xu, Lexi Ma, Yi Zhang, Ping Tafazolli, Rahim |
| author_facet | Meng, Rui Zhang, Zhidi Gao, Song Wang, Yaheng Xu, Xiaodong Lin, Yijing Liu, Yiming Feng, Chenyuan Xu, Lexi Ma, Yi Zhang, Ping Tafazolli, Rahim |
| contents | Intellicise (Intelligent and Concise) wireless network is the main direction of the evolution of future mobile communication systems, a perspective now widely acknowledged across academia and industry. As a key technology within it, Agentic AI has garnered growing attention due to its advanced cognitive capabilities, enabled through continuous perception-memory-reasoning-action cycles. This paper first analyses the unique advantages that Agentic AI introduces to intellicise wireless networks. We then propose a structured taxonomy for Agentic AI-enhanced secure intellicise wireless networks. Building on this framework, we identify emerging security and privacy challenges introduced by Agentic AI and summarize targeted strategies to address these vulnerabilities. A case study further demonstrates Agentic AI's efficacy in defending against intelligent eavesdropping attacks. Finally, we outline key open research directions to guide future exploration in this field. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_15290 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Intellicise Wireless Networks Meet Agentic AI: A Security and Privacy Perspective Meng, Rui Zhang, Zhidi Gao, Song Wang, Yaheng Xu, Xiaodong Lin, Yijing Liu, Yiming Feng, Chenyuan Xu, Lexi Ma, Yi Zhang, Ping Tafazolli, Rahim Cryptography and Security Signal Processing Intellicise (Intelligent and Concise) wireless network is the main direction of the evolution of future mobile communication systems, a perspective now widely acknowledged across academia and industry. As a key technology within it, Agentic AI has garnered growing attention due to its advanced cognitive capabilities, enabled through continuous perception-memory-reasoning-action cycles. This paper first analyses the unique advantages that Agentic AI introduces to intellicise wireless networks. We then propose a structured taxonomy for Agentic AI-enhanced secure intellicise wireless networks. Building on this framework, we identify emerging security and privacy challenges introduced by Agentic AI and summarize targeted strategies to address these vulnerabilities. A case study further demonstrates Agentic AI's efficacy in defending against intelligent eavesdropping attacks. Finally, we outline key open research directions to guide future exploration in this field. |
| title | Intellicise Wireless Networks Meet Agentic AI: A Security and Privacy Perspective |
| topic | Cryptography and Security Signal Processing |
| url | https://arxiv.org/abs/2602.15290 |