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.
References
[1] Gavurova B, Kelemen M, Polishchuk V. Expert model of risk assessment for the selected components of smart city concept: From safe time to pandemics as COVID-19 [J]. Socio-Economic Planning Sciences, 2022, 3(2):80-82.
[2] Gao C, Zhang D. The Establishment and Verification of the Sensitivity Model of the Piezoresistive Pressure Sensor Based on the New Peninsula Structure [J]. Journal of Microelectromechanical Systems: A Joint IEEE and ASME Publication on Microstructures, Microactuators, Microsensors, and Microsystems, 2022(2):31.
[3] Liu B, Pan J, Zong H, et al. Establishment and Verification of a Perioperative Blood Transfusion Model After Posterior Lumbar Interbody Fusion: A Retrospective Study Based on Data From a Local Hospital [J]. Frontiers in Surgery, 2021, 8:347-349.
[4] Xu Y, Liu J, Wang J, et al. Establishment and verification of a nomogram prediction model of hypertension risk in Xinjiang Kazakhs [J]. Medicine, 2021, 5(7):96-100.
[5] Hu K, Jin S, Ding H, et al. The Bridge between Screening and Assessment: Establishment and Application of Online Screening Platform for Food Risk Substances [J]. Hindawi Limited, 2021.
[6] Li Y W, Cao K. Establishment and application of intelligent city building information model based on BP neural network model [J]. Computer Communications, 2020, 153.
[7] Jiang X, Zhang X, Zhang Y. Establishment and optimization of sensor fault identification model based on classification and regression tree and particle swarm optimization [J]. Materials Research Express, 2021, 8(8):085703 (12pp).
How to cite this paper
Establishment and Countermeasures of Smart City Security Risk Assessment Model
How to cite this paper: Zhengrui Qiu. (2022) Establishment and Countermeasures of Smart City Security Risk Assessment Model. Advances in Computer and Communication, 3(2), 70-73.
DOI: https://dx.doi.org/10.26855/acc.2022.12.003