Network Intrusion Detection Based on Support Vector Machine

Abstract

Network intrusion detection system is a significant guarantee means for network security. However, the current network intrusion detection system generally suffers from less prior knowledge which then leads to poor generalizing ability. Network intrusion detection system based on support vector machine is endowed with favorable generalizing ability even with small sample size (less prior knowledge). The paper first gives an introduction to the basic concept of intrusion detection and the basic principle of the classifier based on support vector machine, then discusses algorithm of support vector machine, and finally forms network intrusion detection system combining anomaly intrusion detection and misuse intrusion detection, based on support vector machine.