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Despite of growing information technology widely, security has remained one challenging area for computers and networks. Recently many researchers have focused on intrusion detection system based on data mining techniques as an efficient strategy. The main problem in intrusion detection system is accuracy to detect new attacks therefore unsupervised methods should be applied. On the other hand, intrusion in system must be recognized in realtime, although, intrusion detection system is also helpful in off-line status for removing weaknesses of network’s security. However, data mining techniques can lead us to discover hidden information from network’s log data. In this survey, we try to clarify: first,the different problem definitions with regard to network intrusion detection generally; second, the specific difficulties encountered in this field of research; third, the varying assumptions, heuristics, and intuitions forming the basis of erent approaches; and how several prominent solutions tackle different problems.
DR. Madjid Khalilian, Norwati Mustapha. . "Intrusion Detection System with Data Mining Approach: A Review". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 5).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 147
Country: Malaysia
Subject: Global Journal of Computer Science and Technology
Authors: DR. Madjid Khalilian, Norwati Mustapha (PhD/Dr. count: 1)
View Count (all-time): 513
Total Views (Real + Logic): 6933
Total Downloads (simulated): 576
Publish Date: 2011 03, Wed
Monthly Totals (Real + Logic):
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