Resource Allocation to Information Security in Smart Cities Based on Evolutionary Game

资源配置 信息安全 计算机科学 资源(消歧) 博弈论 计算机安全 环境经济学 经济 微观经济学 计算机网络
作者
Jun Li,Kai Zou,Shang Xiang,Zhen Wan,Lining Xing
出处
期刊:Tobacco regulatory science [Tobacco Regulatory Science Group]
卷期号:7 (4): 805-815
标识
DOI:10.18001/trs.7.4.1.35
摘要

Smart city highly relies on cloud computing, Internet of Things and other new technology means, which bring hidden information risk diffusion to urban information security. How to reasonably allocate current urban resources, avoid these information security risks as much as possible, and obtain the highest benefits, have become a practical problem to the current healthy development of smart cities. Based on the discussion of related concepts and technical theories, the information security resource allocation influencing factors index system is constructed from the following aspects: resources, threat sources, vulnerabilities and security measures. With the further analysis of information security factors and their affecting mechanisms, the basic theoretical framework of information security resource allocation is established based on the evolutionary game. The information security resource allocation problem is divided into the internal resource allocation and external resource allocation. External resource allocation is subdivided into complementary external resource allocation, alternative external resource allocation and weakly related external resource allocation. Under this framework, the subject relationship in various situations is analyzed. This research work can conduct a reasonable allocation of resources related to information security.

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