{"data":{"id":"d144a0de-1042-4a0b-a98d-c460f9e0d01c","title":"Proactive Bot Detection Based on Structural Information Principles","summary":"Researchers propose SIAMD, a structural-information adversarial framework that models bot behavior and detects bots proactively. It organizes multi-relational interactions into a heterogeneous graph, uses structural entropy to find layered account communities, and uses large language models to generate synthetic messages that evolve the network. Experiments on real-world datasets report that SIAMD significantly and consistently outperforms state-of-the-art social bot detection baselines in effectiveness, generalizability, robustness, and interpretability.","solution":"N/A -- no mitigation discussed in source.","labels":["research","security"],"sourceUrl":"http://ieeexplore.ieee.org/document/11311341","publishedAt":"2025-12-22T13:17:30.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"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":null,"fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.8,"researchCategory":"peer_reviewed","atlasIds":null}}