Empirical analysis of 444 iOS apps using dynamic traffic interception found 282 leaking LLM API keys across ten providers, with only 28% remediation after three months.
In: 2025 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)
6 Pith papers cite this work. Polarity classification is still indexing.
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Honeyval evaluates LLM HTTP honeypots with AI attackers and shows they produce longer interactions, lower detection rates, and cost advantages over rule-based baselines.
Large-scale SSH honeypot deployment shows 99.23% of authenticated sessions are non-interactive, suggesting most attacks do not involve shell interaction.
AdvancedShelLM deploys a manager-worker multi-LLM architecture and stateful filesystem for SSH honeypots, reporting up to 99% unit-test pass rates and evidence that its outputs alter real attacker behavior in deployment.
Only 80 of 250 ATT&CK techniques (32%) allow plausible decoy placement by defenders, grouped into Sweep and Seek patterns, with the rest having no suitable defender asset in the attack path.
A multi-agent system with hybrid RAG and two new enforcement mechanisms shows strong results on semantic extraction phases of IT-Grundschutz but weak results on logical reasoning phases when evaluated against a BSI case study.
citing papers explorer
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Probabilistic Agents in Deterministic Audits: Evaluating Multi-Agent Systems for Automated Audits Based on the German IT-Grundschutz
A multi-agent system with hybrid RAG and two new enforcement mechanisms shows strong results on semantic extraction phases of IT-Grundschutz but weak results on logical reasoning phases when evaluated against a BSI case study.