Assembly Classifier Approach to Analyze Intrusion Detection Dataset in Networks by Using Data Mining Techniques

The Intrusion Detection system analyzes network traffic to detect the attacks. The attack detection methods used by these systems are of two types anomaly detection and misuse detection methods. Intrusion detection is a type of security management system for computer networks. An Intrusion detection system analyzes information within a computer network to identify possible security breaches, which include both anomaly and misuse. In this paper I studied the performance of number of data mining algorithms and chose best three algorithms for building multi classifier from decision tree classifier, nave Bayes classifier and Multilayer Perceptron classifier. I evaluated performance classifier by account accuracy and error rate.