NCorr-FP: A Neighbourhood-Based Correlation-Preserving Fingerprinting Scheme for Intellectual Property Protection of Structured Data
inforesearchPeer-Reviewed
researchsecurity
Source: IEEE Xplore (Security & AI Journals)June 5, 2026
Summary
NCorr-FP is a data fingerprinting (embedding hidden recipient-specific marks into data to track ownership) technique designed to protect structured tabular data in shared environments. The method preserves the statistical quality of data while embedding fingerprints using local record similarity and density estimation, and can detect these fingerprints even after substantial data modification or deletion attacks.
Classification
Attack SophisticationModerate
Impact (CIA+S)
confidentialityintegrity
AI Component TargetedTraining Data
Monthly digest — independent AI security research
Original source: http://ieeexplore.ieee.org/document/11553241
First tracked: July 16, 2026 at 02:12 AM
Classified by LLM (prompt v3) · confidence: 75%