Abstract
Due to the drastic increase in the number of critical infrastructures like nuclear plants, industrial control systems (ICS), transportation, it becomes highly vulnerable to several attacks. They become the major targets of cyberattacks due to the increase in number of interconnections with other networks. Several research works have focused on the design of intrusion detection systems (IDS) using machine learning (ML) and deep learning (DL) models. At the same time, Blockchain (BC) technology can be applied to improve the security level. In order to resolve the security issues that exist in the critical infrastructures and ICS, this study designs a novel BC with deep learning empowered cyber-attack detection (BDLE-CAD) in critical infrastructures and ICS. The proposed BDLE-CAD technique aims to identify the existence of intrusions in the network. In addition, the presented enhanced chimp optimization based feature selection (ECOA-FS) technique is applied for the selection of optimal subset of features. Moreover, the optimal deep neural network (DNN) with search and rescue (SAR) optimizer is applied for the detection and classification of intrusions. Furthermore, a BC enabled integrity checking scheme (BEICS) has been presented to defend against the misrouting attacks. The experimental result analysis of the BDLE-CAD technique takes place and the results are inspected under varying aspects. The simulation analysis pointed out the supremacy of the BDLE-CAD technique over the recent state of art techniques with the of 92.63%.
Highlights
Critical infrastructure system has been utilized for underpinning the functions of an economy and society
With this infrastructure being interconnected to the Internet via Internet of Things (IoT) system, a wide-ranging of cyberattacks, including malware, Man-in-the-middle attack, distributed denial-of service (DDoS), Brute force, breach, and phishing attacks are threatening the process of industrial control systems (ICS) [6,7]
The experimental result analysis of the BDLE-CAD technique takes place and the results are inspected under varying aspects
Summary
Critical infrastructure system has been utilized for underpinning the functions of an economy and society. CMC, 2022, vol., no.1 public health, security services, and so on [1] Such transformation is mainly because of the extensive utilization of Internet of Things (IoT) and their considerable aid for critical infrastructure systems in industry 4.0 [2]. ICS was mainly developed for a closed infrastructure and proprietary without taking care of security problems into account, since conventional critical infrastructure is kind of isolated and is invulnerable to cyber-attacks With this infrastructure being interconnected to the Internet via IoT system, a wide-ranging of cyberattacks, including malware, Man-in-the-middle attack, distributed denial-of service (DDoS), Brute force, breach, and phishing attacks are threatening the process of ICS [6,7]. The experimental result analysis of the BDLE-CAD technique takes place and the results are inspected under varying aspects
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