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Confidence-Guided Protocol IR for LLM-Aided Security Protocol Modeling

arXiv cs.CRby Siqi Li ()1 min read2 · 2 reads
Read at arxiv.org
AI summary · grok-4.7Summaries by Vani AI

A confidence-guided protocol IR lets experts audit LLM drafts before generating Tamarin security models.

Researchers present a human-in-the-loop framework that turns natural-language protocol descriptions into Tamarin-verifiable formal models. A protocol intermediate representation captures participants, message flows, value provenance, cryptographic operations, proof targets, and compromise assumptions so experts can audit semantics before generation. An interface highlights low-confidence fields, and LLMs produce drafts that verification tools then check. Code and artifacts are available in the TamarinAgent repository.

Key facts
  • A protocol IR sits between natural-language parsing and Tamarin model generation.
  • The IR records participants, messages, cryptography, proofs, and compromise assumptions.
  • Confidence highlighting directs experts to the riskiest semantic fields.
  • Code and verification artifacts are published as TamarinAgent.
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Tags
tamarinformal-verificationllmsecurity-protocolsintermediate-representationhuman-in-the-loop
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From the original article

1 min read at arxiv.org

Large language models offer a promising interface for translating natural-language protocol descriptions into formal security models, but their outputs remain difficult to trust without expert validation. In this paper, we present a human-in-the-loop framework for generating Tamarin-verifiable formal models of security protocols.

arXiv cs.CR

By Siqi Li · arxiv.org

Read the full article at arXiv cs.CR

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.