Intrusion Detection Systems based on Artificial Intelligence

Aafreen jahan, Prof. M.Afshar Alam

Abstract


There are many attacks over the internet or network, to detect those attacks an intrusion detection can be implemented for defencing of any network system. An Intrusion detection model can be based on classification and feature selection based techniques. We can build Intrusion detection system model to find attacks on system and can improve the system using captured data. By applying feature selection approach in machine learning, the NSLKDD data set obtained can be reduced and also can improve the intrusion detection using the captured data. By machine learning techniques, we can increase number of new unseen attacks the system of intrusion detection can be developed. They can learn the preferences of the security officers and show the kind of alerts first that the security officer has previously been more interested.

Keywords


IDS, Data mining, classification, machine learning

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DOI: https://doi.org/10.26483/ijarcs.v8i5.3401

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