ReCon: A Resource-Constrained Benchmark for LLM-Based Cybersecurity Compliance Across Ingestion and Retrieval Pipelines
arXiv 2607.22885•92d0bbdab5e6875fcdb3ab10d5b8394990616c5c8858396f27501d9cda946e94
LLM securityOT securityV2X securityadversarial machine learningagentic systemsautonomous vehiclescode generation securitycompliance automationconstrained devicescritical infrastructurecybersecurity researchfeature injectionfraud detectionhardware securitypost-quantum cryptographypower side channelsprompt and model attackssmart grid
Paper metadata
- arXiv ID
- 2607.22885
- Version
- Not specified by this published record
- Category
- Computer Science — Cryptography and Security (cs.CR)
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Evidence and limitations
- Source ID
- arxiv_cs_cr
- Record identifier
- 92d0bbdab5e6875fcdb3ab10d5b8394990616c5c8858396f27501d9cda946e94
- Enrichment time
- 2026-07-28T07:23:25Z
- AI-assisted enrichment
- Yes
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