Intrusion Detection System Using Unsupervised Immune Network Clustering with Reduced Features

摘要

Intrusion Detection Systems (IDS) are developed to be the defense against security threats. Current signature based IDS like firewalls and anti viruses, which rely on labeled training data, generally cannot detect novel attacks. The purpose of this study