A transport-layer cryptographic framework secures inter-agent communication and verdict provenance in multi-agent malware detection pipelines

Abstract

Multi-agent AI systems have emerged as a promising approach for metamorphic malware detection, combining large language model (LLM) reasoning with specialized static, dynamic, and similarity-analysis tools. The cryptographic security of the supporting infrastructure – inter-agent channels, agent identities, and signed analytic verdicts – has so far received less attention than the detection algorithms themselves. This paper presents the Secure Agent Communication Protocol (SACP), a transport

Categories

@article{gonzalezgorrin2026transportlayer,
  title = {{A transport-layer cryptographic framework secures inter-agent communication and verdict provenance in multi-agent malware detection pipelines}},
  author = {Víctor Manuel González-Gorrín and Josep Prieto-Blázquez},
  year = {2026},
  month = aug,
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-66312-8},
  url = {https://www.semanticscholar.org/paper/32ba3f3e509341196abb0cf0e27ca4f60872f21a}
}