(Publisher of Peer Reviewed Open Access Journals)

International Journal of Advanced Computer Research (IJACR)

ISSN (Print):2249-7277    ISSN (Online):2277-7970
Volume-3 Issue-12 September-2013
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Paper Title : A Review of Intrusion Detection Technique by Soft Computing and Data Mining Approach
Author Name : Aditya Shrivastava, Mukesh Baghel, Hitesh Gupta
Abstract :

The growth of internet technology spread a large amount of data communication. The communication of data compromised network threats and security issues. The network threats and security issues raised a problem of data integrity and loss of data. For the purpose of data integrity and loss of data before 20 year Anderson developed a model of intrusion detection system. Initially intrusion detection system work on process of satirical frequency of audit system logs. Latter on this system improved by various researchers and apply some other approach such as data mining technique, neural network and expert system. Now in current research trend of intrusion detection system used soft computing approach such as fuzzy logic, genetic algorithm and machine learning. In this paper discuss some method of data mining and soft computing for the purpose of intrusion detection. Here used KDDCUP99 dataset used for performance evaluation for this technique.

Keywords : IDS, Data Mining, soft computing, KDDCUP99.
Cite this article : Aditya Shrivastava, Mukesh Baghel, Hitesh Gupta, " A Review of Intrusion Detection Technique by Soft Computing and Data Mining Approach " , International Journal of Advanced Computer Research (IJACR), Volume-3, Issue-12, September-2013 ,pp.224-228.