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An Intelligent Hybrid Mutual Authentication Scheme for Industrial Internet of Thing Networks

Muhammad Adil1, Jehad Ali2, Muhammad Sajjad Khan3, Junsu Kim3, Ryan Alturki4, Mohammad Zakarya4, Mukhtaj Khan4, Rahim Khan4, Su Min Kim3,*

1 Department of Computer Science, Virtual University of Pakistan, Lahore, 54000, Pakistan
2 Department of Computer Engineering, Department of AI Convergence Network, Ajou University, Suwon, 16499, South Korea
3 Department of Electronics Engineering, Korea Polytechnic University, Slheung, South Korea
4 Department of Computer Science, Abdul Wali Khan University Mardan, 23200, Pakistan

* Corresponding Author: Su Min Kim. Email: email

(This article belongs to this Special Issue: Security Issues in Industrial Internet of Things)

Computers, Materials & Continua 2021, 68(1), 447-470. https://doi.org/10.32604/cmc.2021.014967

Abstract

Internet of Things (IoT) network used for industrial management is vulnerable to different security threats due to its unstructured deployment, and dynamic communication behavior. In literature various mechanisms addressed the security issue of Industrial IoT networks, but proper maintenance of the performance reliability is among the common challenges. In this paper, we proposed an intelligent mutual authentication scheme leveraging authentication aware node (AAN) and base station (BS) to identify routing attacks in Industrial IoT networks. The AAN and BS uses the communication parameter such as a route request (RREQ), node-ID, received signal strength (RSS), and round-trip time (RTT) information to identify malicious devices and routes in the deployed network. The feasibility of the proposed model is validated in the simulation environment, where OMNeT++ was used as a simulation tool. We compare the results of the proposed model with existing field-proven schemes in terms of routing attacks detection, communication cost, latency, computational cost, and throughput. The results show that our proposed scheme surpasses the previous schemes regarding these performance parameters with the attack detection rate of 97.7 %.

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Cite This Article

M. Adil, J. Ali, M. Sajjad Khan, J. Kim, R. Alturki et al., "An intelligent hybrid mutual authentication scheme for industrial internet of thing networks," Computers, Materials & Continua, vol. 68, no.1, pp. 447–470, 2021. https://doi.org/10.32604/cmc.2021.014967



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