An Overview of the Smart Grid Attributes, Architecture and Components

Al-Kaabi, Murtadha; Igeb, Bahaa Hussein Al; Ali, Sarah Yahya

doi:10.1007/978-3-031-25274-7_38

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…Third, it is essential to understand the precise limitations of data transmission. By considering these attributes, one can gain further insight into the capabilities and behaviour of WSNs [27].…”

Section: Literature Reviewmentioning

confidence: 99%

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

Ghadi,

Mazhar,

Shloul

et al. 2024

IEEE Access

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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. This article focuses on machine learning algorithms used to solve the security issues of wireless sensor networks. This article also focuses on different types of attacks on layers of the wireless sensor network. Moreover, this study addresses several unsolved issues, including adapting machine learning algorithms to accommodate the sensors' functionalities in this network configuration. Furthermore, this article also focuses on open issues in this field that must be solved.

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Section: Literature Reviewmentioning

confidence: 99%