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Data Mining based DDoS Attack Detection in MANET using Modified ID3 Algorithm

Author(s):

Archan Thakkar , Hasmukh Goswami College of Engineering; Prof. Avani Parmar, Hasmukh Goswami College of Engineering

Keywords:

DDoS Attack, Intrusion Detection System,ID3, Information Gain

Abstract

Mobile Ad hoc Network (MANET) is a collection of mobile nodes that are capable of communicating with each other without any infrastructure. Mobile Ad Hoc Network suffers from security attacks. Security is a burning issue in MANET. There are many algorithm used to protect whole network. The field of Intrusion Detection has received increasing attention in present years. The Intrusion Detection techniques using data mining have attracted more and more interest. In data mining techniques Decision Tree is an important method of classification. ID3 is one of the popular decision tree algorithm. In basic ID3 Algorithm, attribute with maximum values is chosen for splitting the tree. It is not necessary that an attribute with maximum values will be the best. This paper introduce Modification of ID3 algorithm in which formula of Information Gain is modified. The result shows that proposed algorithm can overcome ID3 Algorithm’s shortcoming.

Other Details

Paper ID: IJSRDV3I31003
Published in: Volume : 3, Issue : 3
Publication Date: 01/06/2015
Page(s): 1729-1731

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