Network accounting information security based on classification and regression tree algorithm

Zongmin Li; Jacquline Tham

doi:10.1117/12.3011569

7 December 2023 Network accounting information security based on classification and regression tree algorithm

Zongmin Li, Jacquline Tham

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129410H (2023) https://doi.org/10.1117/12.3011569
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

The continuous development of network accounting has promoted the continuous improvement of accounting operation means, objectives, functions, and supervision and management of enterprises. However, it cannot be ignored that network technology has also brought serious security threats to accounting information system. This article mainly conducts research on network accounting information security based on classification and regression tree algorithm. This article first introduces the security risks of network accounting information, then analyzes the principle of decision trees and the selection of classifiers. Finally, this article uses classification and regression trees to construct a network accounting information security model. Through the experimental results, it can be concluded that the network accounting information security model has a recognition rate of 90.33% for accounting information, which is superior to most information security models.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zongmin Li and Jacquline Tham "Network accounting information security based on classification and regression tree algorithm", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129410H (7 December 2023); https://doi.org/10.1117/12.3011569

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