Future Internet· 2026Q1· Review
A Systematic Literature Review on Machine Learning for Intrusion Detection Systems
- 1citations
- Q1SCImago
- 2026year
Short summary
A systematic review of 125 papers (Jan 2022-May 2025) reveals that while ensemble/hybrid learning (30 papers) and context-specific IDS for IoT/cloud/SDN (34 papers) dominate ML-based intrusion detection research, significant gaps exist in real-world validation, explainability (XAI, 2%), and adversarial robustness (4%).
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Computer Networks and CommunicationsComputer Science