# 6G Sensing Security: Distributed Game-Theoretic RL for Urban Beamforming and Attacker Detection

arXiv: https://arxiv.org/abs/2607.06115 · HTML: https://mlsanity.com/paper/2607.06115/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 8 of its 20 references that are in the map.
- First posted on arXiv 7 Jul 2026.

## Builds on (most cited first, 8 of 8)

- [Full-Duplex Communication for ISAC: Joint Beamforming and Power Optimization](https://mlsanity.com/paper/2211.00229/) (2022)
- [The Role of ISAC in 6G Networks: Enabling Next-Generation Wireless Systems](https://mlsanity.com/paper/2510.04413/) (2025)
- [Secure Integrated Sensing and Communication](https://mlsanity.com/paper/2303.11350/) (2023)
- [Energy-Efficient Beamforming Design for Integrated Sensing and Communications Systems](https://mlsanity.com/paper/2307.04002/) (2023)
- [Securing Integrated Sensing and Communication Against a Mobile Adversary: A Stackelberg Game with Deep Reinforcement Learning](https://mlsanity.com/paper/2501.02271/) (2025)
- [Research and Experimental Validation for 3GPP ISAC Channel Modeling Standardization](https://mlsanity.com/paper/2504.09799/) (2025)
- [Feedback Lunch: Learned Feedback Codes for Secure Communications](https://mlsanity.com/paper/2510.16620/) (2025)
- [Secure Integrated Sensing and Communication: Information Theory Offers Insights](https://mlsanity.com/paper/2605.08106/) (2026)

## Abstract (arXiv)

In next-generation networks, communication systems will no longer be limited to data transmission and will be expected to acquire awareness of the surrounding environment. This leads to the concept of integrated sensing and communication (ISAC), where the same wireless infrastructure is used for both communication and environmental sensing. Thus, ISAC enables the system to transmit information efficiently and observe and interpret channel variations and user behavior. Motivated by this capability, this work focuses on detecting an active attacker in an urban environment scenario, where the attacker intentionally manipulates beamforming directions to increase interference and mislead the transmitter into allocating the main lobe of beam toward itself instead of legitimate users. We apply game-theoretic approaches to model the interaction between legitimate users and the attacker, and integrate the resulting utility-based formulation into a reinforcement learning (RL) framework. Simulation results demonstrate that the proposed method effectively addresses security challenges in dynamic 6G ISAC systems.