{"data":{"id":"f71eb509-00b2-4b3e-af6e-ceae578d3bd8","title":"Hybrid Machine Learning–Based Trust Management Approach to Secure the Mobile Crowdsourcing","summary":"This research article proposes a hybrid machine learning approach to improve trust management and security in mobile crowdsourcing (a system where mobile users contribute data or complete tasks for a distributed project). The study combines multiple machine learning techniques to identify trustworthy participants and protect against malicious actors in crowdsourcing environments.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"https://dl.acm.org/doi/abs/10.1145/3785006?af=R","publishedAt":"2026-03-16T21:11:52.624Z","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":null,"llmSpecific":false,"classifierConfidence":0.72,"researchCategory":"peer_reviewed","atlasIds":null}}