MULTI AGENT BASED APPROACH FOR NETWORK INTRUSION DETECTION USING DATA MINING CONCEPT | Abstract

ISSN: 2229-371X

Research Article Open Access

MULTI AGENT BASED APPROACH FOR NETWORK INTRUSION DETECTION USING DATA MINING CONCEPT

Abstract

Data mining refers to extracting or ―mining‖ useful data from large amounts of data. Due to the wide availability of huge amount of useful information and knowledge, data mining can be used for market analysis, fraud detection and customer retention. Network intrusion detection system is used to detect any intruder which might have entered into the computer system In this paper, a multi agent based approach is used for network intrusion detection. An adaptive NIDS will be used. The method proposed is the enhancement of the previous methods. Here more numbers of agents are used which will be continuously monitoring the data to check for any intruder which might have entered in the system. Each agent is trained accordingly so that it can check for any type of intruder entering into the system. Verification through many agents will ensure the safety of the data.

Ankita Agarwal, Sherish Johri, Ankur Agarwal, Vikas Tyagi, Atul Kumar

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