Paper
10 November 2021 Information security risk assessment methods for the transportation industry
Jing Deng, LaiQiang Song, XiaoBo Wu
Author Affiliations +
Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 120502B (2021) https://doi.org/10.1117/12.2613964
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China
Abstract
Information security risk assessment is the starting point and foothold of information security management. The construction of transportation informatization has achieved remarkable results, but the development of industry information security risk assessment is relatively backward, and the security level needs to be improved. While summarizing the typical information security risk assessment methods, this paper summarizes the existing advanced risk assessment methods at home and abroad, compares and analyzes the applicability of various methods in solving common problems in the process of industry information system risk assessment. The analysis results of this paper show that the information security risk assessment methods fused with multi-intelligent algorithms have better assessment effects, and provides a good reference for the choice of information security risk assessment methods in the transportation industry.
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Jing Deng, LaiQiang Song, and XiaoBo Wu "Information security risk assessment methods for the transportation industry", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 120502B (10 November 2021); https://doi.org/10.1117/12.2613964
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KEYWORDS
Information security

Fuzzy logic

Machine learning

Algorithms

Data processing

Neural networks

Transportation security

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