Array synthesis based on an improved Artificial Bee Colony algorithm

Yang, Qun; Fan, Wen-lan; Jiang, Nan; Sun, Tao

doi:10.1109/ihmsc49165.2020.10125

Cited by 1 publication

(1 citation statement)

References 7 publications

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“…It can reflect the internal relationship between fuzziness and randomness and establish the mapping between qualitative and quantitative data. In recent years, this method has been widely used in various fields, such as data mining [16], algorithm improvement [17], system measurement [18], and decision support [19].…”

Section: Definition Of Cloud Modelmentioning

confidence: 99%

Security Risk Intelligent Assessment of Power Distribution Internet of Things via Entropy-Weight Method and Cloud Model

Cai

Wei

Deng

et al. 2022

Sensors

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The current power distribution Internet of Things (PDIoT) lacks security protection terminals and techniques. Network security has a large exposure surface that can be attacked from multiple paths. In addition, there are many network security vulnerabilities and weak security protection capabilities of power distribution Internet of Things terminals. Therefore, it is crucial to conduct a scientific assessment of the security of PDIoT. However, traditional security assessment methods are relatively subjective and ambiguous. To address the problems, we propose to use the entropy-weight method and cloud model theory to assess the security risk of the PDIoT. We first analyze the factors of security risks in PDIoT systems and establish a three-layer PDIoT security evaluation index system, including a perception layer, network layer, and application layer. The index system has three first-level indicators and sixteen second-level indicators. Then, the entropy-weight method is used to optimize the weight of each index. Additionally, the cloud model theory is employed to calculate the affiliation degree and eigenvalue of each evaluation index. Based on a comprehensive analysis of all evaluation indexes, we can achieve the security level of PDIoT. Taking the PDIoT of Meizhou Power Supply Bureau of Guangdong Power Grid as an example for empirical testing, the experimental results show that the evaluation results are consistent with the actual situation, which proves that the proposed method is effective and feasible.

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Section: Definition Of Cloud Modelmentioning

confidence: 99%