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R0492
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. 1970. \u201cIntrusion Detection System with Data Mining Approach: A Review\u201d. Unknown Journal GJCST Volume 11 (GJCST Volume 11 Issue 5): .
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Total Score: 107
Country: Malaysia
Subject: Uncategorized
Authors: DR. Madjid Khalilian, Norwati Mustapha (PhD/Dr. count: 1)
View Count (all-time): 120
Total Views (Real + Logic): 20456
Total Downloads (simulated): 10733
Publish Date: 1970 01, Thu
Monthly Totals (Real + Logic):
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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.
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