WebIDS: A Cooperative Bayesian Anomaly-BasedIntrusion Detection System for Web Applications

摘要

This paper presents WeblDS, a learning-based anomaly detection system for Web applications aiming at improving the decision process, reducing the number of false positives, and achieving distributed detection.