Self-Adaptive Multi-Agent LLM-Based Security Pattern Selection for IoT Systems

Saeid Jamshidi, Foutse Khomh, Carol Fung, Kawser Wazed Nafi

Abstract

The adoption of Internet of Things (IoT) systems at the network edge of smart architectures is increasing rapidly, intensifying the need for security mechanisms that are both adaptive and resource-efficient. In such environments, runtime defence mechanisms are no longer limited to detection alone but become a resource-constrained task of selecting mitigation actions. Security controls must be carefully selected, combined, and executed under latency, energy, and computational constraints, while p

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Cite This Resource

@article{llmsec202600088,
  title = {Self-Adaptive Multi-Agent LLM-Based Security Pattern Selection for IoT Systems},
  author = {Saeid Jamshidi and Foutse Khomh and Carol Fung and Kawser Wazed Nafi},
  year = {2026},
  url = {https://arxiv.org/abs/2605.00741},
}