Feature selection for intrusion detection system in Internet-of-Things (IoT)

Volume: 7, Issue: 2, Pages: 177 - 181
Published: Jun 1, 2021
Abstract
Internet of Things (IoT) is suffered from different types of attacks due to vulnerability present in devices. Due to many IoT network traffic features, the machine learning models take time to detect attacks. This paper proposes a feature selection for intrusion detection systems (IDSs) using Information Gain (IG) and Gain Ratio (GR) with the ranked top 50% features for the detection of DoS and DDoS attacks. The proposed system obtains feature...
Paper Details
Title
Feature selection for intrusion detection system in Internet-of-Things (IoT)
Published Date
Jun 1, 2021
Volume
7
Issue
2
Pages
177 - 181
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