Securing Wireless Sensor Networks Using Machine Learning and Blockchain: A Review
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/15/6/200 |
| _version_ | 1797594734940651520 |
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| author | Shereen Ismail Diana W. Dawoud Hassan Reza |
| author_facet | Shereen Ismail Diana W. Dawoud Hassan Reza |
| author_sort | Shereen Ismail |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T02:26:24Z |
| format | Article |
| id | doaj.art-706dad21e4fd40929b0133ad6b560e58 |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-03-11T02:26:24Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-706dad21e4fd40929b0133ad6b560e582023-11-18T10:30:19ZengMDPI AGFuture Internet1999-59032023-05-0115620010.3390/fi15060200Securing Wireless Sensor Networks Using Machine Learning and Blockchain: A ReviewShereen Ismail0Diana W. Dawoud1Hassan Reza2School of Electrical Engineering and Computer Science, University of North Dakota, Grand Forks, ND 58202, USACollege of Engineering and Information Technology, University of Dubai, Dubai 14143, United Arab EmiratesSchool of Electrical Engineering and Computer Science, University of North Dakota, Grand Forks, ND 58202, USAAs 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.https://www.mdpi.com/1999-5903/15/6/200Internet of Thingswireless sensor networkssecuritymachine learningblockchaindetection |
| spellingShingle | Shereen Ismail Diana W. Dawoud Hassan Reza Securing Wireless Sensor Networks Using Machine Learning and Blockchain: A Review Future Internet Internet of Things wireless sensor networks security machine learning blockchain detection |
| title | Securing Wireless Sensor Networks Using Machine Learning and Blockchain: A Review |
| title_full | Securing Wireless Sensor Networks Using Machine Learning and Blockchain: A Review |
| title_fullStr | Securing Wireless Sensor Networks Using Machine Learning and Blockchain: A Review |
| title_full_unstemmed | Securing Wireless Sensor Networks Using Machine Learning and Blockchain: A Review |
| title_short | Securing Wireless Sensor Networks Using Machine Learning and Blockchain: A Review |
| title_sort | securing wireless sensor networks using machine learning and blockchain a review |
| topic | Internet of Things wireless sensor networks security machine learning blockchain detection |
| url | https://www.mdpi.com/1999-5903/15/6/200 |
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