ISSN (Online) : 2394-6237
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IJAICE ISSN (Online) : 2394-6237
     
Title    :   Classification Based Intrusion Detection System
Authors    :   R. Sivagami, D. Sathya
Keywords    :   IDS, Supervised learning, Classification techniques
Issue Date    :   May 2016
Abstract    :   Intrusion detection system (IDS) is a software application.The key aspect of IDS is to monitor the system activities for malicious activities or policy violations and produces reports to a management station. Supervised learning technique is a machine learning task of inferring a function from labeled training data and it is consisting of input and desired output value. In supervised learning output datasets are provided which are used to train the machine and get the desired outputs. Classification techniques used for supervised learning algorithm is back propagation network, decision tree, support vector machine and Bayesian classification Normal and abnormal sensor data are trained for the testing data to the supervised learning techniques. In the proposed system supervised learning algorithms are evaluated and compared by monitoring their performance of detecting intrusion and attacks.
Page(s)    :   1-8
ISSN(Online)    :   2394-6237
Source    :   IJAICE - Volume 2 Issue 5
PDF    :   Download