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Bernard Ayivor

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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. · 0 citations

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