Abstract
This paper describes the theoretical hierarchy of information security risk assessment, which includes the models, standards and methods. Firstly, this paper generalizes and analyzes the security risk assessment models on the macro scale and proposes a common security risk assessment model by reviewing the development history of the models. Secondly, this paper compares different security risk assessment standards and classifies them into information security risk assessment standards, information security risk assessment management standards and information security risk assessment management implementation guidelines on the mesoscale. Then, on the micro scale, this paper generalizes security risk assessment methods and analyzes the security risk assessment implementation standards, which is the specific implementation method of security assessment work. Finally, this paper proposes a cloud security event description and risk assessment analysis framework based on the cloud environment and the common security risk assessment model we proposed.
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References
Xiaolong, X., Liu, Q., Zhang, X., Zhang, J., Qi, L., Dou, W.: A blockchain-powered crowdsourcing method with privacy preservation in mobile environment. IEEE Trans. Comput. Soc. Syst. (2019). https://doi.org/10.1109/TCSS.2019.2909137
Qi, L., Chen, Y., Yuan, Y., Shucun, F., Zhang, X., Xu, X.: A QoS-aware virtual machine scheduling method for energy conservation in cloud-based cyber-physical systems. World Wide Web J. (2019). https://doi.org/10.1007/s11280-019-00684-y
Qi, L., et al.: Finding all you need: web APIs recommendation in web of things through keywords search. IEEE Trans. Comput. Soc. Syst. (2019). https://doi.org/10.1109/tcss.2019.2906925
Li, Q., Meng, S., Wang, S., Zhang, J., Hou, J.: CAD: command-level anomaly detection for vehicle-road collaborative charging network. IEEE Access 7, 34910–34924 (2019)
Li, Q., Meng, S., Zhang, S., Hou, J., Qi, L.: Complex attack linkage decision-making in edge computing networks. IEEE Access 7, 12058–12072 (2019)
Li, Q., et al.: Safety risk monitoring of cyber-physical power systems based on ensemble learning algorithm. IEEE Access 7, 24788–24805 (2019)
Li, Q., Wang, Y., Pu, Z., Wang, S., Zhang, W.: A time series association state analysis method in smart internet of electric vehicle charging network attack. Transp. Res. Rec. 2673, 217–228 (2019)
Acknowledgement
This work was supported in part by Military Common Information System Equipment Pre-research Special Technology Project (315075701), the Fundamental Research Funds for the Central Universities (30918012204), 2018 Jiangsu Province Major Technical Research Project “Information Security Simulation System” (electric power and energy), Shanghai Aerospace Science and Technology Innovation Fund (SAST2018-103).
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Ying, Z., Li, Q., Meng, S., Ni, Z., Sun, Z. (2020). A Survey of Information Intelligent System Security Risk Assessment Models, Standards and Methods. In: Zhang, X., Liu, G., Qiu, M., Xiang, W., Huang, T. (eds) Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications. CloudComp SmartGift 2019 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-030-48513-9_48
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DOI: https://doi.org/10.1007/978-3-030-48513-9_48
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