{"data":{"id":"737dbde4-9524-404e-8eea-bd85cd626ed8","title":"Illusion: Safeguarding Topology Confidentiality in LLM Multi-Agent Systems via Behavior-Preserving Obfuscation","summary":"The paper proposes Illusion, a proactive defense that conceals the communication topology of LLM multi-agent systems by injecting fake edges and fake messages. Low-impact candidates are chosen to preserve output-distribution equivalence and task accuracy. In experiments, edge-level F1 drops from over 0.87 to 0.62 and graph similarity from over 0.94 to 0.71, and the fake edges resist similarity-based and LLM-judge filtering, even under adaptive pruning.","solution":"The proposed mitigation is Illusion, a proactive topology obfuscation defense that injects fake edges and fake messages into LLM-MAS communication to present attackers with a deceptive topology.","labels":["security","research"],"sourceUrl":"https://arxiv.org/abs/2611.00923v1","publishedAt":"2026-10-31T13:23:42.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["other"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":null,"headlinePromptVersion":null,"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":null,"patchAvailable":null,"disclosureDate":"2026-10-31T13:23:42.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality","integrity"],"aiComponentTargeted":"agent","llmSpecific":true,"classifierConfidence":0.95,"researchCategory":"preprint","atlasIds":null}}