paperSeptember 2025Unreviewed

MobiLLM: An Agentic AI Framework for Closed-Loop Threat Mitigation in 6G Open RANs

Prakhar Sharma, Haohuang Wen, V. Yegneswaran, Ashish Gehani, Phillip Porras, Zhiqiang Lin

IEEE Military Communications Conference

Abstract

The evolution toward 6G networks is being accelerated by the Open Radio Access Network (O-RAN) paradigm—an open, interoperable architecture that enables intelligent, modular applications across public telecom and private enterprise domains. While this openness creates unprecedented opportunities for innovation, it also expands the attack surface, demanding resilient, low-cost, and autonomous security solutions. Legacy defenses remain largely reactive, labor-intensive, and inadequate for the scal

Cite

@inproceedings{sharma2025mobillm,
  title = {{MobiLLM: An Agentic AI Framework for Closed-Loop Threat Mitigation in 6G Open RANs}},
  author = {Prakhar Sharma and Haohuang Wen and V. Yegneswaran and Ashish Gehani and Phillip Porras and Zhiqiang Lin},
  year = {2025},
  month = sep,
  booktitle = {IEEE Military Communications Conference},
  eprint = {2509.21634},
  archivePrefix = {arXiv},
  doi = {10.1109/MILCOM64451.2025.11310651},
  url = {https://www.semanticscholar.org/paper/3fb886ee2cfed48af9dd1766725f0385754e5528}
}