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RETRACTED: Corporate accounting information disclosure based on FPGA and neural network (Retracted article. See vol. 106, 2024)
被引:5
|作者:
Zhang, Xingfu
[1
]
机构:
[1] Anhui Tech Coll Ind & Econ, Sch Finance & Econ, Hefei 230051, Anhui, Peoples R China
关键词:
Corporate accounting information;
Neural network (NN);
FPGA;
Authorized person;
Unauthorized person;
Encryption;
Decryption;
STABILITY ANALYSIS;
D O I:
10.1016/j.micpro.2021.103973
中图分类号:
TP3 [计算技术、计算机技术];
学科分类号:
0812 ;
摘要:
Corporate accounting information is a measure of the company's accounting and external reporting systems. It is routinely disclosed, which is quantitative data on its financial position and performance audit. The corporate accounting information system contains confidential information that needs to be secured. The consequences of unauthorized access are data loss from identity theft issues. To solve the problem, encrypt and decrypt the sensitive corporate accounting information and product the data using the proposed algorithm Neural Network (NN) and Field Programmable Gate Array (FPGA) is used to classify the corporate accounting information authorized person and unauthorized person. When one authorized user accesses the corporate account information, it generates the secret critical process. The proposed algorithm unauthorized person cannot access the information is not allowed for stealing. Encryption is the process of converting to something as random and meaningless as direct text data. Decryption is the process of restoring the ciphertext plaintext.
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页数:6
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