International Journal of Computer Science & Engineering Technology

ISSN : 2229-3345

Open Access
Open Access

ABSTRACT

Title : CLASSIFICATION TECHNIQUES APPLIED FOR INTRUSION DETECTION
Authors : Saranya.V, Amsaveni.R
Keywords : intrusion, data mining, classification algorithm.
Issue Date : April 2012
Abstract :
Intrusion detection system (IDS) was designed to monitor the network activity and it identifies the normal and abnormal behavioral pattern in the network. If there was any abnormal pattern, it indicates the system is in attack by compromising the confidentiality, availability or integrity of the computer system. IDS perform three functions namely monitoring, detecting and responding for malicious activity. Experiment is based on kdd99 dataset to categorize normal and abnormal pattern. Goal of this paper is to compare three classification techniques by considering two classifiers from each technique and find out the best one based on the true positive, false positive and average accuracy.
Page(s) : 106-113
ISSN : 2229-3345
Source : Vol. 3, Issue.04

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