I-SiamIDS: an improved Siam-IDS for handling class imbalance in network-based intrusion detection systems

Volume: 51, Issue: 2, Pages: 1133 - 1151
Published: Sep 16, 2020
Abstract
Network-based Intrusion Detection Systems (NIDSs) identify malicious activities by analyzing network traffic. NIDSs are trained with the samples of benign and intrusive network traffic. Training samples belong to either majority or minority classes depending upon the number of available instances. Majority classes consist of abundant samples for the normal traffic as well as for recurrent intrusions. Whereas, minority classes include fewer...
Paper Details
Title
I-SiamIDS: an improved Siam-IDS for handling class imbalance in network-based intrusion detection systems
Published Date
Sep 16, 2020
Volume
51
Issue
2
Pages
1133 - 1151
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