A Review of Intrusion Detection Technique Based On Classification and Feature Optimization

Classification and optimization play an important role in intrusion detection system. The process of classification depends on data mining and neural network approach. For the improvement of classification result, feature optimization is used. The process of feature optimization such as genetic algorithm, particle of swarm and ant colony optimization improved the detection of intrusion detection system. In this paper review of intrusion detection technique based on classification and feature optimization process, the process of classification consist of binary classifier, rule based classifier. The binary classification technique plays a major role in intrusion detection system. Feature optimization is a process of feature reduction, which gives the reduced feature set for intrusion detection. The reduced feature improves the classification ratio of intrusion detection system and decreases the false and negative detection of intrusion.