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新论文 · v1arXiv:2611.10966

PQC-Corpus: A Dataset of Linked Development Histories for Post-Quantum Cryptography

Souhardya Saha Dip, Moshood A. Fakorede, Umar Farooq

原文摘要

As post-quantum cryptography (PQC) standards evolve, developers must adapt implementations, tests, and protocols. Studying this work requires connecting code changes to problem reports and developer reviews. We present PQC-Corpus, a dataset of linked development histories from 179 public GitHub repositories, spanning cryptographic libraries and general-purpose projects. It connects issues and closing pull requests to commits and full patches, with comments and reviews. We combine Git histories with GitHub threads, reconstruct 23 pull-request commit lists truncated at 250 entries, and check file integrity, schemas, and links. Two annotators independently assessed sampled commits and issues ($κ=0.86$ and $0.93$), labeling about seven in ten commits and two in three issues PQC-related within these samples. We provide full and filtered views with removal ledgers, and quantify how filtering reduces links from issues to commits. A patch-free view supports inspection before downloading patches, while traversal scripts follow issues to code changes. We make the dataset and collector publicly available for studies of specification changes, hybrid interoperability, cryptographic review, and migration assistance.

cs.CR · cs.SE

新论文 · v1arXiv:2610.38054

Understanding Post-Quantum Cryptography Adoption: Practices, Challenges, and Evolution in Open-Source Software

Souhardya Saha Dip, Moshood A. Fakorede, Krishna Upadhyay, Umar Farooq

原文摘要

Post-quantum cryptography (PQC) standards establish algorithms for quantum-safe systems, but empirical evidence about how software projects implement and maintain PQC support remains limited. We investigate this implementation and maintenance work by mining 114,361 commits and 5,713 issues across 179 open-source repositories. We use human annotation and validated LLM classification to identify PQC algorithms in commits, classify their adoption status and deployment mode, and identify technical challenges in issue discussions. The commit classification for PQC algorithms reveals that 90% of commits concern maintenance of existing support. From the issue discussions, we construct an 11-category taxonomy of recurring technical challenges. Build, packaging, and dependency failures, along with functional defects, account for approximately half of categorized issues. To examine how PQC support evolves, we use time-series analysis and first implementations of individual algorithms within repositories around NIST standardization milestones. After the 2024 finalization, standardized algorithm names appeared in more than 80% of the PQC development changes analyzed, although earlier names such as Kyber continued to appear. Development activity increased over the observation period. Our milestone analysis, however, did not find a significant increase in first implementations. Migration plans should therefore account for sustained maintenance, prioritize build reliability and integration testing, and track both standardized and predecessor algorithm names. We make the dataset, taxonomy, annotations, and analysis pipeline publicly available.

cs.SE · cs.CR