Model Based Intrusion Detection using Data Mining Techniques with Feature Reduction
preprintposted on 2022-01-20, 10:41 authored 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.
Email Address of Submitting Authorjgoyal_me16@thapar.edu
ORCID of Submitting Author0000-0001-5296-7238
Submitting Author's InstitutionThapar University
Submitting Author's Country