Intellicise Wireless Networks Meet Agentic AI: A Security and Privacy Perspective

TL;DR

This paper explores how Agentic AI enhances the security and privacy of Intellicise wireless networks, analyzing benefits, challenges, and strategies through a taxonomy and case study.

Contribution

It introduces a structured taxonomy for secure Agentic AI-enabled wireless networks and identifies key security challenges and solutions.

Findings

Agentic AI improves security in wireless networks.

A taxonomy for secure Agentic AI networks is proposed.

Agentic AI effectively defends against eavesdropping attacks.

Abstract

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.