cs.CR · 2026-08-05 · No. 75

Cryptography and Security, 2026-08-05.

4 new papers in cs.CR. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

4 entries
  1. 01

    A Security-Oriented Lifecycle Model for Large Language Model Systems

    Eleftherios Batzolis, George Drosatos, Vassilis Katsouros, Konstantinos Rantos

    cs.CR · cs.AI · cs.CY

    Large language models are being integrated into critical infrastructure and enterprise workflows at unprecedented scale,yet the lifecycle frameworks governing their development and operations were designed for operational efficiency rather than security analysis. As a result, security-relevant activities such as data provenance verification, artifact signing, agentic permission control, and decommissioning are often left implicit or assumed...

    arxiv.org/abs/2608.03626 · PDF

  2. 02

    DiagChain: A Diagnostic Benchmark for Evaluating LLM Agents on Evidence-Grounded Attack Chain Reconstruction

    Xuyang Liu, Yibin Han, Zhenwei Zhang, Kai Chang, Zhiwei Xu, Tian Qiu, Weixian Deng, Jiabao Gao, Xiaolin Peng, Hai...

    cs.CR · cs.AI

    Large Language Model (LLM) agents offer a promising approach to attack chain reconstruction by retrieving and interpreting heterogeneous telemetry to infer ordered attacker actions. However, existing benchmarks mainly evaluate final outputs or aggregate accuracy, providing limited insight into how errors arise and propagate across intermediate reasoning stages. We present DiagChain, a diagnostic benchmark for evidence-grounded attack chain...

    arxiv.org/abs/2608.03591 · PDF

  3. 03

    ReputationChain: Robust Trust Updating for Blockchain-Enabled Supply Chains

    Adnan Iftekhar, Chengliang Zheng, Xiaohui Cui, Mir Hassan

    cs.CR · cs.DC

    Blockchain can preserve supply-chain records, but ledger integrity alone does not show whether a participant should be trusted in a future risk-sensitive transaction. Existing reputation systems mainly address product evidence, global feedback aggregation, or review authenticity, while giving less attention to repeated bilateral inflation, identity multiplicity, and unfair decay for honest participants with sparse histories. We present \RC, a...

    arxiv.org/abs/2608.03554 · PDF

  4. 04

    AI Forensics Across White-, Grey-, and Black-Box Access: A Process Model and Research Agenda for Post-Incident Investigation of AI Systems

    Ali Dehghantanha, Sajad Homayoun

    cs.CR · cs.AI

    AI systems are increasingly involved in decisions and actions that may later require investigation. When an AI related incident occurs, investigators need to reconstruct what the system did, why it behaved that way, and which part of the system or supply chain contributed to the outcome. Existing work on AI forensics remains fragmented, often focusing on a specific system type, artifact, or analysis technique. This paper argues that...

    arxiv.org/abs/2608.03520 · PDF

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