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Model Based Intrusion Detection using Data Mining Techniques with Feature Reduction

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posted on 20.01.2022, 10:41 by Jyotsna GoyalJyotsna Goyal
The research paper involves model based Intrusion detection through data mining techniques using the NSL-KDD dataset. The approach involves building of classification model and hybrid model which are created using classification techniques and, combining both classification and clustering techniques respectively. Classification model can detect known attacks effectively whereas hybrid models can detect unknown or new attacks also. The comparison of the results of different models is done over different performance evaluation parameters.

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Email Address of Submitting Author

jgoyal_me16@thapar.edu

ORCID of Submitting Author

0000-0001-5296-7238

Submitting Author's Institution

Thapar University

Submitting Author's Country

India