Enterprise intelligent risk management information system based on data analysis algorithm

Zhen Zeng; Xuebin Liu

doi:10.1117/12.2646264

23 August 2022 Enterprise intelligent risk management information system based on data analysis algorithm

Zhen Zeng, Xuebin Liu

Proceedings Volume 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022); 1233002 (2022) https://doi.org/10.1117/12.2646264
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 2022, Huzhou, China

Abstract

With the gradual improvement of modern enterprise internal control, the comprehensive risk management system plays a more and more important role in ensuring the sustainable development of enterprises, promoting the construction of comprehensive legal system, strengthening enterprise risk control and management, and improving the level of enterprise risk prevention. This paper summarizes the fuzzy clustering theory, risk management and AFDD algorithm, puts forward the risk identification management system, and analyzes the risk evaluation results. The results show that H company analyzes database permission risk (0.357), platform and system permission risk (0.637) and database account risk (0.725). These three risks exceed 0.1, which belong to the category of high risk and need to be paid attention to and solved first.

Citation Download Citation

Zhen Zeng and Xuebin Liu "Enterprise intelligent risk management information system based on data analysis algorithm", Proc. SPIE 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 1233002 (23 August 2022); https://doi.org/10.1117/12.2646264

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