{"data":{"id":"f4050f62-2084-4d68-aba0-f2c55e105548","title":"SEO-DBSCAN: Securely and Efficiently Outsourcing Density-Based Clustering","summary":"SEO-DBSCAN is a secure framework for running DBSCAN (a clustering algorithm that groups similar data points together based on density) on cloud servers without exposing sensitive data to the cloud provider. The system maintains the accuracy of normal clustering while protecting privacy through mathematical techniques, and it is much faster and more efficient than previous secure approaches.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11599640","publishedAt":"2026-07-08T13:18:43.000Z","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":"2026-07-08T13:18:43.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality"],"aiComponentTargeted":"training_data","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}