Efficient, Lightweight Cyber Intrusion Detection System for IoT Ecosystems Using MI2G Algorithm

• DOI: 10.3390/computers11100142
• Publication Date: 2022-09-21T01:12:53Z
• Authors: Sunil Kaushik; Akashdeep Bhardwaj; Abdullah Alomari; Salil Bharany; Amjad Alsirhani; Mohammed Mujib Al...
• Keywords: Feature (linguistics)

The increase in internet connectivity has led to an increased usage of the Internet Things (IoT) and devices on internet. These IoT are becoming backbone Industry 4.0. dependence made them vulnerable cyber-attacks. often deployed harsh conditions, challenged with less computational costs, starved energy. All these limitations make it tough deploy accurate intrusion detection systems (IDSs) critical ecosystem more susceptible A new lightweight IDS a novel feature selection algorithm introduced this paper overcome challenges cost accuracy. proposed is based Information Theory models select high statistical entropy reduction dataset. This also showed performance parameters training time 27–63% different classifiers. accuracy, Precision, Recall, F1-Score than 99% when tested CICIDS2018 competitive compared latest published research. consistent UNSWNB15