A Concept on Intrusion Detection System Genetic Algorithm, Fuzzy Logic and Challenges

Authors(2) :-Anshul Atre, Rajesh Singh

Intrusion Detection System (IDS) which is increasing the key element of system security is used to identify the malicious activities in a computer system There are different approaches being employed in intrusion detection systems. The prediction process may produce false alarms in many anomaly based intrusion detection systems. With the concept of fuzzy logic, the false alarm rate in establishing intrusive activities can be reduced. A set of efficient fuzzy rules can be used to define the normal and abnormal behaviors in a computer network. research papers regarding the foundations of intrusion detection systems, the methodologies and good fuzzy classifiers using genetic algorithm which are the focus of current development efforts and the solution of the problem of Intrusion Detection System to offer a real-world view of intrusion detection. Ultimately, a discussion of the upcoming technologies and various methodologies which promise to improve the concept of IDS

Authors and Affiliations

Anshul Atre
Department of Computer Science and Engineering, NITM Gwalior, Madhya Pradesh, India
Rajesh Singh
Department of Computer Science and Engineering, NITM Gwalior, Madhya Pradesh, India

Intrusion Detection System (IDS), definition and classification and challenges, Genetic algorithm, Fuzzy logic

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Publication Details

Published in : Volume 2 | Issue 1 | January-February 2016
Date of Publication : 2016-02-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 287-289
Manuscript Number : IJSRSET162163
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Anshul Atre, Rajesh Singh, " A Concept on Intrusion Detection System Genetic Algorithm, Fuzzy Logic and Challenges, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 1, pp.287-289, January-February-2016.
Journal URL : http://ijsrset.com/IJSRSET162163

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