Trust evaluation model in new power system edge computing

Junfeng Lu; Chan Wang; Jing Li; Xiaomeng Li; Jinmeng Zhao; Xiaolong Wang

doi:10.1117/12.2686949

6 August 2023 Trust evaluation model in new power system edge computing

Junfeng Lu, Chan Wang, Jing Li, Xiaomeng Li, Jinmeng Zhao, Xiaolong Wang

Proceedings Volume 12781, International Conference on Optoelectronic Information and Functional Materials (OIFM 2023); 1278103 (2023) https://doi.org/10.1117/12.2686949
Event: 2023 International Conference on Optoelectronic Information and Functional Materials (OIFM 2023), 2023, Guangzhou, JS, China

Abstract

The existing sensor network trust evaluation model cannot be directly applied to the new power system distributed home photovoltaic collection scenario, which is difficult to meet the requirements of strong computing power and high defense power of the new power system. Therefore, a distributed dynamic trust evaluation model based on multi-index detection is proposed. Firstly, the communication trust evaluation based on Bayes is carried out according to the historical interaction of terminal acquisition nodes. Then, the current collected data is evaluated by perceptual trust based on its historical data support degree and regional trust based on probability density. Finally, the entropy weight method is used to dynamically decentralize the values of each trust module. The node activeness and double reward and punishment mechanism are introduced to calculate the comprehensive trust value and realize the dynamic update. The experimental results show that the four levels of trust evaluation model suitable for the new power system environment and can be used to detect the distributed in a short period of time household photovoltaic power generation collection in view of the signal in the scene, such as equipment aging and malicious tampering with cases of abnormal nodes, dynamic, accuracy of node trust evaluation, and according to the specific details provide a reference for analysis of exception type.

Citation Download Citation

Junfeng Lu, Chan Wang, Jing Li, Xiaomeng Li, Jinmeng Zhao, and Xiaolong Wang "Trust evaluation model in new power system edge computing", Proc. SPIE 12781, International Conference on Optoelectronic Information and Functional Materials (OIFM 2023), 1278103 (6 August 2023); https://doi.org/10.1117/12.2686949

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available