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An Intrusion Detection based on Data mining technique and its intended

Publication Date : 15/12/2014

Author(s) :

Jaymin Parekh , Ronak patel.

Volume/Issue :
Volume 1
Issue 6
(12 - 2014)

Abstract :

Intrusion detection is a pivotal and essential requirement of today’s era. There are two major side of Intrusion detection namely, Host based intrusion detection as well as network based intrusion detection. In Host based intrusion detection system, it monitors the information arrive at the particular machine or node. While in network based intrusion system, it monitor and analyze whole traffic of network. Data mining introduce latest technology and methods to handle and categorize types of attacks using different classification algorithm and matching the patterns of malicious behavior. Due to the use of this data mining technology, developers extract and analyze the types of attack in the network. In addition to this there are two major approach of intrusion detection. First, anomaly based approach, in which attacks are found with high false alarm rate. However, in signature based approach, false alarm rate is low with lack of processing of novel attacks. Most of the researchers do their research based on signature intrusion with the purpose to increase detection rate. Major advantage of this system, IDS does not require biased assessment and able to identify massive pattern of attacks. Moreover, capacity to handle large connection records of network. In this paper we try to discover the features of intrusion detection based on data mining technique.

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An Intrusion Detection based on Data mining technique and its intended

December 4, 2014