Securing Wireless Sensor Networks Using Machine Learning and Blockchain: A Review

Shereen Ismail (), Diana W. Dawoud and Hassan Reza
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Shereen Ismail: School of Electrical Engineering and Computer Science, University of North Dakota, Grand Forks, ND 58202, USA
Diana W. Dawoud: College of Engineering and Information Technology, University of Dubai, Dubai 14143, United Arab Emirates
Hassan Reza: School of Electrical Engineering and Computer Science, University of North Dakota, Grand Forks, ND 58202, USA

Future Internet, 2023, vol. 15, issue 6, 1-45

Abstract: As an Internet of Things (IoT) technological key enabler, Wireless Sensor Networks (WSNs) are prone to different kinds of cyberattacks. WSNs have unique characteristics, and have several limitations which complicate the design of effective attack prevention and detection techniques. This paper aims to provide a comprehensive understanding of the fundamental principles underlying cybersecurity in WSNs. In addition to current and envisioned solutions that have been studied in detail, this review primarily focuses on state-of-the-art Machine Learning (ML) and Blockchain (BC) security techniques by studying and analyzing 164 up-to-date publications highlighting security aspect in WSNs. Then, the paper discusses integrating BC and ML towards developing a lightweight security framework that consists of two lines of defence, i.e, cyberattack detection and cyberattack prevention in WSNs, emphasizing the relevant design insights and challenges. The paper concludes by presenting a proposed integrated BC and ML solution highlighting potential BC and ML algorithms underpinning a less computationally demanding solution.

Keywords: Internet of Things; wireless sensor networks; security; machine learning; blockchain; detection; prevention; cyberattacks; integration; review (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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