{"data":{"id":"e8ca446d-8a05-49d9-9166-7b307df48ce8","title":"FedDC: Efficient protection scheme based on chaotic system in federated learning","summary":"This research paper proposes FedDC, a protection scheme designed to secure federated learning (a training method where multiple computers train an AI model together without sharing raw data) by using a chaotic system (a mathematical approach based on unpredictable behavior). The scheme aims to make federated learning more efficient while protecting the privacy and security of the distributed training process.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"https://www.sciencedirect.com/science/article/pii/S2214212626001894?dgcid=rss_sd_all","publishedAt":"2026-07-08T18:01:35.802Z","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":["confidentiality","integrity"],"aiComponentTargeted":"training_data","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}