Intrusion Detection System with Data Mining Approach: A Review

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DR. Madjid Khalilian
DR. Madjid Khalilian
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Norwati Mustapha
Norwati Mustapha
α Universiti Putra Malaysia

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Intrusion Detection System with Data Mining Approach: A Review

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Abstract

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.

References

17 Cites in Article
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

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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April 14, 2011

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en
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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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Intrusion Detection System with Data Mining Approach: A Review

DR. Madjid Khalilian
DR. Madjid Khalilian Universiti Putra Malaysia
Norwati Mustapha
Norwati Mustapha

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