当前位置: X-MOL 学术Microprocess. Microsyst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Corporate Accounting Information Disclosure Based on FPGA and Neural Network
Microprocessors and Microsystems ( IF 1.9 ) Pub Date : 2021-01-12 , DOI: 10.1016/j.micpro.2021.103973
Xingfu Zhang

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.



中文翻译:

基于FPGA和神经网络的公司会计信息披露。

公司会计信息是对公司会计和外部报告系统的一种度量。它是常规披露的,是有关其财务状况和绩效审计的定量数据。公司会计信息系统包含需要保护的机密信息。未经授权访问的后果是身份盗用问题导致的数据丢失。为了解决该问题,使用提议的算法神经网络(NN)和现场可编程门阵列(FPGA)对敏感的公司会计信息进行加密和解密,并将数据乘积进行分类,以对公司会计信息的授权人和未授权人进行分类。当一个授权用户访问公司帐户信息时,它将生成秘密关键过程。所提出的算法未经授权的人不能访问该信息,不允许进行窃取。加密是转换为与直接文本数据一样随机且毫无意义的内容的过程。解密是恢复密文明文的过程。

更新日期:2021-01-18
down
wechat
bug