{"data":{"id":"251d102e-1d59-42e3-9113-25189f45d073","title":"RDSAD: Robust Threat Detection in Evolving Data Streams via Adaptive Latent Dynamics","summary":"RDSAD is an AI-based security system designed to detect cyberattacks on Cyber-Physical Systems (CPSs, which are machines that combine physical equipment with software to automate industrial processes). The system works without manual labeling and uses two techniques: one to understand how the system normally behaves, and another to adapt when patterns change, helping it catch attacks while avoiding false alarms.","solution":"N/A -- no mitigation discussed in source.","labels":["research","security"],"sourceUrl":"http://ieeexplore.ieee.org/document/11178205","publishedAt":"2025-09-24T13:19:02.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}