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

Authors

  • 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

Keywords:

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

Abstract

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

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2016-02-25

Issue

Volume 2, Issue 1, January-February-2016

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
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.