Multi-agent system privacy protection and mean convergence control method

A multi-agent system and privacy protection technology, applied in the field of multi-agent system privacy protection and mean convergence control, can solve problems such as vulnerability to network attacks, reduce the number of updates and save resources

Pending Publication Date: 2022-04-08
HANGZHOU DIANZI UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

On the other hand, the agent system is generally exposed in an open network environment, so it is vulnerable to network attacks, such as common DoS attacks, etc.

Method used

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  • Multi-agent system privacy protection and mean convergence control method
  • Multi-agent system privacy protection and mean convergence control method
  • Multi-agent system privacy protection and mean convergence control method

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Embodiment Construction

[0037] The technical solutions of the present invention will be further explained below through specific examples.

[0038] A method for privacy protection and mean convergence control of a multi-agent system. Firstly, an agent dynamic model and a DoS attack model are established, and then the multi-agent system is controlled by using the agent dynamic model and the DoS attack model.

[0039] Described agent dynamic model specifically is:

[0040] The dynamic model of the i-th node (agent) in the multi-agent system network is:

[0041] i,j=1,2,...,n, i≠j, n is the number of nodes in the multi-agent system network; x i (k) and x j (k) represent the i-th node s respectively i and the jth node s j State value at time k; a ii for node s i its own weight, a ij for node s i with node s j The weight between, if node s i and node s j There is a communication channel between nodes sj for node s i Neighbors of j∈N i , then a ij >0, otherwise a ij =0.

[0042] DoS att...

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Abstract

The invention discloses a privacy protection and mean convergence control method for a multi-agent system. An intelligent agent system is easy to suffer from network attacks, and meanwhile, the problem of privacy leakage of node information exists. The method comprises the following steps of: providing a distributed network node information processing mechanism based on differential privacy to ensure the privacy of initial state values of all nodes; in combination with an event trigger control method, the initial state value of the node can be protected and the mean convergence control can be achieved under the DoS attack; graph theory knowledge and strict mathematical theorem prove that conditions for realizing convergence control when the system suffers from DoS attack are analyzed. According to the method, the situation that only differential privacy and only DoS attacks are researched is overcome, the differential privacy is combined with event trigger control, it is guaranteed that the system achieves mean convergence while privacy protection is achieved, and the influence of the DoS attacks existing in the network can be immune.

Description

technical field [0001] The invention belongs to the technical field of intelligent control, in particular to the technical field of coordinated control of multi-agent systems, and in particular relates to a multi-agent system privacy protection and mean convergence control method capable of resisting DoS attacks (denial of service attacks). Background technique [0002] Multi-agent systems (multi-agent systems) are a distributed network system formed by a group of agents with certain perception, communication, calculation and execution capabilities through communication and perception. Consensus control means that in a distributed system, nodes with different initial state values ​​in the network only exchange and calculate state value information with adjacent nodes, and eventually make the state values ​​of all individual agents agree. In recent years, the problem of distributed convergent control and cooperation of multi-agent systems has received more and more attention...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L9/40
Inventor 伍益明张保俊叶欣茹应晨铎徐明郑宁
Owner HANGZHOU DIANZI UNIV
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