Agree to Disagree: Exploring Consensus of XAI Methods for ML-based NIDS_新万博体育下载_万博体育app【投注官网】

Chair of Networked Systems and Communication Networks
2024-10-27T23:00:00+00:00
Universit?t Augsburg

Today our paper “Agree to Disagree: Exploring Consensus of XAI Methods for ML-based NIDS” was presented at the 1st Workshop on Network Security Operations (NecSecOr). This paper examines the effectiveness and consensus of various explainable AI (XAI) methods in enhancing the interpretability of machine learning-based Network Intrusion Detection Systems (ML-NIDS), finding that while some methods align closely, others diverge, underscoring the need for careful selection to build trust in real-world cybersecurity applications.