Machine Learning Solutions for the Security of Wireless Sensor Networks: A Review

Energy efficiency and safety are two essential factors that play a significant role in operating a wireless sensor network. However, it is claimed that these two factors are naturally conflicting. The level of electrical consumption required by a security system is directly proportional to its degre...

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Bibliographic Details
Published in:IEEE access 2024, Vol.12, p.12699-12719
Main Authors: Ghadi, Yazeed Yasin, Mazhar, Tehseen, Shloul, Tamara Al, Shahzad, Tariq, Salaria, Umair Ahmad, Ahmed, Arfan, Hamam, Habib
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Complexity
Internet of Things
IoT
Low-power electronics
LoWPAN
Machine learning
Network security
Personal area networks
Safety
Security
Security systems
Sensors
Training
Wireless sensor networks
WSNs security
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Summary:Energy efficiency and safety are two essential factors that play a significant role in operating a wireless sensor network. However, it is claimed that these two factors are naturally conflicting. The level of electrical consumption required by a security system is directly proportional to its degree of complexity. Wireless sensor networks require additional security measures above the capabilities of conventional network security protocols, such as encryption and key management. The potential application of machine learning techniques to address network security concerns is frequently discussed. These devices will have complete artificial intelligence capabilities, enabling them to understand their environment and respond. During the training phase, machine-learning systems may face challenges due to the large amount of data required and the complex nature of the training procedure. The main objective of the article is to know about different machine learning algorithms that are used to solve the security issues of wireless sensor networks. This study also focuses on the use of wireless sensor networks in different fields. Furthermore, this study also focuses on different Machine learning algorithms that are used to secure wireless sensor networks. Moreover, this study also addresses issues of adapting machine learning algorithms to accommodate the sensors' functionalities in the network configuration. Furthermore, this article also focuses on open issues in this field that must be solved.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2024.3355312