Trustworthy GenAI over 6G: Integrated Applications and Security Frameworks
Bui Duc Son, Trinh Van Chien, Dong In Kim

TL;DR
This paper explores the integration of GenAI into 6G networks, identifying security vulnerabilities and proposing an adaptive defense framework using GenAI for resilient, trustworthy, and secure 6G systems.
Contribution
It introduces a unified view of cross-domain vulnerabilities in 6G and proposes an adaptive evolutionary defense leveraging GenAI for security resilience.
Findings
GenAI modules are vulnerable to adversarial perturbations.
The proposed AED framework enhances security against attacks.
Case study demonstrates effectiveness of the defense approach.
Abstract
The integration of generative artificial intelligence (GenAI) into 6G networks promises substantial performance gains while simultaneously exposing novel security vulnerabilities rooted in multimodal data processing and autonomous reasoning. This article presents a unified perspective on cross-domain vulnerabilities that arise across integrated sensing and communication (ISAC), federated learning (FL), digital twins (DTs), diffusion models (DMs), and large telecommunication models (LTMs). We highlight emerging adversarial agents such as compromised DTs and LTMs that can manipulate both the physical and cognitive layers of 6G systems. To address these risks, we propose an adaptive evolutionary defense (AED) concept that continuously co-evolves with attacks through GenAI-driven simulation and feedback, combining physical-layer protection, secure learning pipelines, and cognitive-layer…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Wireless Communication Technologies · Wireless Signal Modulation Classification · Wireless Communication Security Techniques
