A novel intrusion detection system based on the 2-dimensional space distribution of average matching degree
Tuo Wang, Shingo Mabu, Nannan Lu, Kotaro Hirasawa · Society of Instrument and Control Engineers of Japan · 2011
Because of the increasing reliance on the Internet and its worldwide connectivity, Intrusion Detection System (IDS) has attracted the attention of many researchers to strengthen the Internet security. In the field of IDS, anomaly detection still is not a mature technology yet compared with misuse detection. In this paper, a classification model (called Distance-based Classification Model) is improved, which considers both misuse detection and anomaly detection. The evaluation of the proposed model is carried out over NSL-KDD data sets, which consists of selected records of the complete KDD data sets.