{"data":{"id":"73db8cc8-9fd9-490a-b397-c5e50a7abdfe","title":"System-Wide Ransomware Attack Detection via Perturbation-Resilient Representation Learning","summary":"Ransomware (malicious software that encrypts files to extort money) has become more sophisticated by spreading attacks across multiple programs, making traditional process-level detection ineffective. This research presents CoLPR, a machine learning framework that learns to detect ransomware by understanding which behaviors are truly malicious versus which are just normal variations from different applications running together, achieving 100% detection success rate with only a 5-second delay.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11655200","publishedAt":"2026-08-13T13:17:16.000Z","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":"2026-08-13T13:17:16.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.75,"researchCategory":"peer_reviewed","atlasIds":null}}