The ICO economic crime model based on BP neural network

Siyuzhuo Yan

doi:10.1117/12.2646558

23 August 2022 The ICO economic crime model based on BP neural network

Siyuzhuo Yan

Proceedings Volume 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022); 123301R (2022) https://doi.org/10.1117/12.2646558
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 2022, Huzhou, China

Abstract

With the rapid development of information technology, ICO, as a typical token, has been one of the focuses of domestic and foreign supervision. This research focuses on the ICO Economic Crime Model which is based on the BP Neural Network. Through the study and analysis of 150 ICO examples, 13 evaluation indexes of the ICO economic crime model are selected, and the ICO economic crime model based on the BP neural network is established. The model uses the function approximation ability of the BP neural network to simulate the nonlinear function relationship between the evaluation index and the ICO legitimacy to realize the evaluation of the ICO legitimacy. The empirical results show that the BP neural network has high accuracy in diagnosing the legitimacy of the ICO, which can be adopted as a new idea to evaluate the legitimacy of the ICO.

Citation Download Citation

Siyuzhuo Yan "The ICO economic crime model based on BP neural network", Proc. SPIE 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 123301R (23 August 2022); https://doi.org/10.1117/12.2646558

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