A Review of Machine Learning based Anomaly Detection Techniques
arXiv:1307.7286v162 citations
Originality Synthesis-oriented
AI Analysis
It provides a review of existing methods for intrusion detection, which is incremental as it summarizes prior work without introducing novel solutions.
The paper reviews machine learning-based anomaly detection techniques for intrusion detection, categorizing them into misuse/signature-based and anomaly detection, but does not present new results or concrete numbers.
Intrusion detection is so much popular since the last two decades where intrusion is attempted to break into or misuse the system. It is mainly of two types based on the intrusions, first is Misuse or signature based detection and the other is Anomaly detection. In this paper Machine learning based methods which are one of the types of Anomaly detection techniques is discussed.