Method and system for internal resource configuration based on data parameters of smart city

By constructing a directed connection graph and adjacency matrix of factors influencing information security in smart cities, generating a reachability matrix, establishing an evolutionary game model, and optimizing resource allocation, the problem of information security risk diffusion in smart cities is solved, and efficient internal resource allocation and information security assurance are achieved.

CN116305228BActive Publication Date: 2026-06-23FOSHAN UNIVERSITY +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
FOSHAN UNIVERSITY
Filing Date
2022-09-08
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

As smart cities become increasingly reliant on cloud computing and the Internet of Things (IoT) technologies, information security risks are spreading, leading to information security vulnerabilities. Existing technologies struggle to effectively allocate internal resources to ensure information security.

Method used

By constructing a directed connection graph and adjacency matrix of influencing factors, a reachability matrix is ​​generated, which is divided into a reachable set and a prior set. An evolutionary game model is established to determine the resource allocation amount, and a replicator dynamic adjustment model is used for dynamic adjustment to optimize resource allocation.

Benefits of technology

It enables the efficient allocation of electronic devices, computer equipment, and storage resources while ensuring information security, thereby reducing information security risks and improving the level of urban information security.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a method and system for internal resource configuration based on data parameters of a smart city, the method comprising: determining all influence factors associated with the resource configuration according to a resource configuration file, selecting a plurality of influence factors from the all influence factors as influence parameters associated with the resource configuration; generating an adjacency matrix of the influence parameters based on the association relationship between the plurality of influence parameters, wherein the adjacency matrix is used to represent the association relationship between the influence parameters; generating a reachable matrix based on the adjacency matrix, and dividing the influence parameters into a reachable set and an antecedent set according to the reachable matrix; determining at least two data parameters of the smart city based on the reachable set and the antecedent set; determining the resource configuration amount of each data parameter in the at least two data parameters, and performing internal resource configuration based on the resource configuration amount of each data parameter.
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