Review: Boosting Classifiers For Intrusion Detection
Richa Rawat, Anurag Kumar Jain · 2013
ABSTRACT — Network and host intrusion detection systems monitor malicious activities and the management station is a technique that generates reports. Security for all networks is becoming a big problem. Hackers and intruders higher number of successful efforts to bring down the company’s networks and web services. Intrusion detection system, the availability of an attack and to protect the integrity of the data used for the detection of attacks. In this paper, we use a variety of feature reduction techniques for intrusion detection system (IDS) to compare the performance of classifiers. There are two phases in certain ways, in the first phase will improve decision tree and SVM classifiers for best results and the second phase will boost both the decision tree and SVM classifiers, and detect more than a single class classifier system.