KEYWORDS: Information security, Fuzzy logic, Machine learning, Algorithms, Data processing, Transportation security, Neural networks, Network security, Information fusion, Complex systems
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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