Open Access Article
Internet of Things and Smart Systems. 2024; 1: (1) ; 1-4 ; DOI: 10.12208/j.itss.20240001.
Establishment and Countermeasures of Smart City Security Risk Assessment Model
智慧城市安全风险评估模型建立及应对措施
作者：
Zhengrui Qiu *
Social Sciences and Humanities College, Northeastern University, USA
*通讯作者：
Zhengrui Qiu,单位：Social Sciences and Humanities College, Northeastern University, USA；
发布时间: 2024-11-28 总浏览量: 128
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摘要
智慧城市建设过程中隐藏着诸多风险与威胁，正确认识和评估这些风险是提升智慧城市安全保障能力的基础。从风险源角度，识别智慧城市安全的主要风险源，通过分析指标间的相互依赖关系，构建ANP结构模型，利用超级决策软件计算指标权重，建立智慧城市安全风险评估指标体系。为体现网络层要素间的依赖关系，需对权重矩阵做稳定性处理，计算权重矩阵的极限矩阵，以体现智慧城市安全风险评估指标的全局权重值。 其中包括4个一级指标、8个二级指标、30个三级指标，包括环境风险、数据风险、用户风险、管理风险等。其中，管理者需要重点关注的是环境风险，其次是管理风险、数据风险、用户风险，并提出智慧城市安全风险应对策略。
关键词： 智慧城市；安全风险；评估模型
Abstract
There are many risks and threats hidden in the process of building a smart city. A correct understanding and assessment of these risks is the basis for improving the security guarantee capability of a smart city. From the perspective of risk sources, identify the main risk sources of smart city security, build an ANP structural model by analyzing the interdependence between indicators, and calculate the indicator weight using super decision-making software. A smart city security risk assessment indicator system has been established, In order to reflect the dependency between the elements of the network layer, it is necessary to do a stability treatment on the weighting matrix, and calculate the limit matrix of the weighting matrix to reflect the global weight value of the smart city security risk assessment index, which includes four first level indicators, eight second level indicators, and 30 third level indicators, including environmental risk, data risk, user risk, and management risk. Among them, managers need to pay more attention to environmental risk, followed by management risk, data risk, and user risk, and propose smart city security risk response strategies.
Key words： Smart city; Safety risk; Evaluation model
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引用本文
ZhengruiQiu, 智慧城市安全风险评估模型建立及应对措施[J]. 物联网与智能系统, 2024; 1: (1) : 1-4.