Paper Title :An Efficient Network Intrusion Detection and Classification System
Author :Karishma Chavan, Dhanshree Gandas, Trimbkeshwar Jagtap, Mayur Sutar, Sujeet More
Article Citation :Karishma Chavan ,Dhanshree Gandas ,Trimbkeshwar Jagtap ,Mayur Sutar ,Sujeet More ,
(2022 ) " An Efficient Network Intrusion Detection and Classification System " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 18-20,
Volume-10,Issue-11
Abstract : Abstract –
Intrusion detection in computer networks is of great importance because of its effects on the different communication and security domains. The detection of network intrusion is a challenge. Moreover, network intrusion detection remains a challenging task as a massive amount of data is required to train the state-of-the-art machine learning models to detect network intrusion threats. Many approaches have already been proposed recently on network intrusion detection.
Keywords - Network Intrusion Detection System (NIDS); Software Defined Network (SDN); NSL-KDD; Machine Learning; Feature Scaling, AdaBoost
Type : Research paper
Published : Volume-10,Issue-11
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-19196
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Copyright: © Institute of Research and Journals
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Published on 2023-01-05 |
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