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LLM-assisted PQC development faces new 'coding drift' risk, paper finds

A new paper from Dinithi Nadee Shakya Rathnaikage introduces "Secure Coding Drift in PQC," a model that describes how reliance on LLMs can degrade secure coding practices in post-quantum cryptography development. The research highlights that LLMs, while boosting productivity, can introduce subtle vulnerabilities. To address this, the paper proposes a gamified framework that integrates adversarial evaluation and behavioral feedback to transform LLMs into active security co-pilots for safer PQC implementation. AI

IMPACT Highlights potential security risks in LLM-assisted code generation for critical domains like cryptography.

RANK_REASON Academic paper on a novel socio-technical vulnerability model. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM-assisted PQC development faces new 'coding drift' risk, paper finds

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Academic paper on a novel socio-technical vulnerability model. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · R. D. N. Shakya, C. P. Wijesiriwardana, S. M. Vidanagamachchi, Nalin A. G. Arachchilage ·

    Secure Coding Drift in LLM-Assisted Post-Quantum Cryptography Development: A Gamified Fix

    arXiv:2606.19474v1 Announce Type: cross Abstract: The transition to Post Quantum Cryptography (PQC) introduces considerable implementation complexity, requiring strict adherence to constant-time execution, side channel resistance, and precise parametrisation. Simultaneously, larg…