Abstract

This research paper provides an explanation for IDS (Intrusion Detection System). The recent technological advancements have raised security and privacy concerns. As cyber networks and their applications expand, network security becomes increasingly important .Machine learning-based intrusion detection systems (IDS) are effective, particularly the Supervised Model, which increases detection rates. Complex models can make it difficult for people to understand their decisions. Currently, most research on model interpretation is focused on fields such as computer vision, natural language processing, and biology. In practice, cybersecurity experts struggle to optimize decisions based on model judgments. To address these concerns, a framework is suggested.