Empirical Evaluation of Large Language Models for Migration of Code Fragments to Post-Quantum Cryptography
LLM evaluation for post-quantum cryptography migration reveals automation potential for the massive code refactoring enterprises face before cryptographic agility deadlines.
Summary written by editorial AI · Source link below
arXiv:2606.07341v1 Announce Type: new Abstract: The transition to post-quantum cryptography (PQC) requires not only replacing vulnerable cryptographic primitives, but also refactoring the surrounding software logic. While existing PQC migration frameworks provide organizational guidance, practical code-level remediation remains largely manual and error-prone. This paper evaluates whether large language models (LLMs) can be trained to assist in the migration of pre-quantum cryptographic code fra
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