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Research On Intelligent Security Optimization Model Of Multi-gas Station Based On Game

Posted on:2022-12-25Degree:MasterType:Thesis
Country:ChinaCandidate:Z K LiFull Text:PDF
GTID:2480306746481334Subject:Vehicle Industry
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With the continuous development of society,network and information technology,various emergencies are increasing,and in the face of the emergencies,it is difficult to better solve the current situation by the conventional way of handling unexpected public security incidents.In order to better govern the response to emergencies,some scholars currently apply game theory to security checks in different scenarios and are able to achieve good results,but the needs of security check models are different for different scenarios.In view of the above,the article establishes a multigas station intelligent security optimization model based on game theory from the perspective of the possible contingencies before and after the security check.The security process of the gas station is first optimized and its subsequent offensive behavior is analyzed to find the best defense strategy and minimize the expected loss of defenders.Specifically,two parts are included.(1)A game-based security check optimization model for gas stations was constructed to optimize the security check process by separating people and vehicles with different security checks;an identification system was introduced to triage green,yellow and red channels for gas users for security checks.(2)The previous Bayesian model for one attacker type is extended to multiple attacker types,and the improved model is able to use the prior probability of multiple attacker types to select the optimal strategy to deploy defense resources and help defenders minimize their expected losses.Finally,the article constructs an intelligent security optimization model by studying the information and resources of both attackers and defenders of multiple gas stations to form a relatively complete security process,which provides some reference value for gas station security.
Keywords/Search Tags:Intelligent security, Resource allocation, Prior probability, Optimization Strategy
PDF Full Text Request
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