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IoT Smart Devices Risk Assessment Model Using Fuzzy Logic and PSO

Ashraf S. Mashaleh1,2,*, Noor Farizah Binti Ibrahim1, Mohammad Alauthman3, Mohammad Almseidin4, Amjad Gawanmeh5

1 School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia
2 Department Computer Center, Al-Balqa Applied University, Salt, Jordan
3 Department of Information Security, Faculty of Information Technology, University of Petra, Amman, Jordan
4 Department of Computer Science, Tafila Technical University, Tafila, Jordan
5 College of Engineering and IT, University of Dubai, Dubai, United Arab Emirates

* Corresponding Author: Ashraf S. Mashaleh. Email: email

Computers, Materials & Continua 2024, 78(2), 2245-2267. https://doi.org/10.32604/cmc.2023.047323

Abstract

Increasing Internet of Things (IoT) device connectivity makes botnet attacks more dangerous, carrying catastrophic hazards. As IoT botnets evolve, their dynamic and multifaceted nature hampers conventional detection methods. This paper proposes a risk assessment framework based on fuzzy logic and Particle Swarm Optimization (PSO) to address the risks associated with IoT botnets. Fuzzy logic addresses IoT threat uncertainties and ambiguities methodically. Fuzzy component settings are optimized using PSO to improve accuracy. The methodology allows for more complex thinking by transitioning from binary to continuous assessment. Instead of expert inputs, PSO data-driven tunes rules and membership functions. This study presents a complete IoT botnet risk assessment system. The methodology helps security teams allocate resources by categorizing threats as high, medium, or low severity. This study shows how CICIoT2023 can assess cyber risks. Our research has implications beyond detection, as it provides a proactive approach to risk management and promotes the development of more secure IoT environments.

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APA Style
Mashaleh, A.S., Ibrahim, N.F.B., Alauthman, M., Almseidin, M., Gawanmeh, A. (2024). Iot smart devices risk assessment model using fuzzy logic and PSO. Computers, Materials & Continua, 78(2), 2245-2267. https://doi.org/10.32604/cmc.2023.047323
Vancouver Style
Mashaleh AS, Ibrahim NFB, Alauthman M, Almseidin M, Gawanmeh A. Iot smart devices risk assessment model using fuzzy logic and PSO. Comput Mater Contin. 2024;78(2):2245-2267 https://doi.org/10.32604/cmc.2023.047323
IEEE Style
A.S. Mashaleh, N.F.B. Ibrahim, M. Alauthman, M. Almseidin, and A. Gawanmeh "IoT Smart Devices Risk Assessment Model Using Fuzzy Logic and PSO," Comput. Mater. Contin., vol. 78, no. 2, pp. 2245-2267. 2024. https://doi.org/10.32604/cmc.2023.047323



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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