Open access
Sep 2026
A PRIVACY-PRESERVING FRAMEWORK FOR INSIDER THREAT DETECTION USING PROCESS MINING, MACHINE LEARNING, AND DIFFERENTIAL PRIVACY
The results establish that formal (ε,δ)-differential privacy and operationally effective insider-threat detection can be achieved simultaneously when process mining is performed at the appropriate (per-user) granularity.
Walter Maanyere, Xian-Wen Fang, Palvine Ngob Enow et al.
· International Journal of Sci... · 0 citations