Review
Jul 2026
Privacy-Preserving Framework Using Isolation Forest for Security
A systematic literature review of 50 studies published between 2018 and 2026 that combine machine-learningbased anomaly detection with privacy-enhancing technologies finds that FL combined with the lightweight Isolation Forest is the approach most frequently associated with a favourable trade-off between detection quality, privacy protection and computational cost.
Mahnoor Fatima, Ahmad Ijaz, Aoun E. Muhammad et al.
· ICACNC 2026 Proceedings · 0 citations