Trusted computing in power distribution IoT: A fuzzy set theory based analysis

2021 ◽  
pp. 1-7
Author(s):  
Fan Zhang ◽  
Yusu Huang
Keyword(s):  
Information Security ◽  
Set Theory ◽  
Power Distribution ◽  
Comprehensive Evaluation ◽  
Trusted Computing ◽  
Distributed Decision Making ◽  
Evaluation Algorithm ◽  
Smart Defense ◽  
Collaborative Autonomy ◽  
Distributed Decision

As emerging technologies in information security protection, trusted computing and blockchain can guarantee a safe and reliable operating environment and management mechanism in the Power Distribution IoT. Relying on the comprehensive evaluation algorithm of fuzzy mathematics set theory in this paper, a blockchain-based distributed decision-making and collaborative autonomy model for the power distribution IoT is built, and the “manageable and controllable, precise protection, visible and credible, and smart defense” security protection model is established to carry out trusted computing and privacy protection of computer blockchain IoT nodes, and the information security defense level of the distribution network is improved comprehensively.

Multiagent Based Dynamic Resource Control for Decentralized Multi-Project Using Combinatorial Exchange

2012 ◽  
Vol 532-533 ◽  
pp. 566-570
Author(s):  
Lei Wang ◽  
De Chen Zhan ◽  
Lan Shun Nie ◽  
Dian Hui Chu ◽  
Xiao Fei Xu
Keyword(s):  
Decision Making ◽  
Optimization Method ◽  
Resource Control ◽  
Modern Times ◽  
Distributed Decision Making ◽  
Project Environment ◽  
Multi Agent ◽  
Dynamic Resource ◽  
Negotiation Mechanism ◽  
Distributed Decision

Decentralized multi-project environment is very common in modern times, and the dynamic resource control problem for this project environment has attracted more attention. Traditional optimization method for multi-project based on the centralization in decision making does not suit for solving this problem any more. In this paper, we analyze the distributed decision making process for the dynamic resource control in the decentralized multi-project environment, and present a multi-agent system model for this problem. Using combinatorial exchange based on market, we design a negotiation mechanism to cope with the time disruptions in the stage of project execution. Computational results show that the combinatorial exchange mechanism could solve the problem effectively and has a powerful controllability for the different weights of the multiple projects.

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