Data integrity auditing with similarity-based deduplication and ownership privacy protection
inforesearchPeer-Reviewed
security
Source: Elsevier Security JournalsSeptember 26, 2026
Summary
This research paper proposes a method for checking whether stored data remains unchanged and uncorrupted, while also removing duplicate copies to save storage space and protecting who owns which data. The approach combines data integrity auditing (verification that files haven't been modified), deduplication (eliminating redundant copies), and privacy protection so that ownership information stays confidential.
Classification
Attack SophisticationModerate
Monthly digest — independent AI security research
Original source: https://www.sciencedirect.com/science/article/pii/S221421262600270X?dgcid=rss_sd_all
First tracked: September 26, 2026 at 02:01 AM
Classified by LLM (prompt v3) · confidence: 65%