基于神经网络的计算机网络安全加密技术

Zejian Dong
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引用次数: 0

摘要

在计算机网络和信息技术飞速发展的今天,人们更倾向于利用网络系统来实现各种数据的交换。阿里巴巴、腾讯等公司的虚拟支付已经成为主流的支付方式。由于网络的全球化和开放性,任何人都可以自由进出,这给NS(网络安全)带来了巨大的隐患。NS已经成为我们必须面对的一个重要问题。重要信息一旦被盗,很可能给个人乃至社会造成非常大的损失。本文主要研究了神经网络的计算机NS加密技术。首先,从近年来国内互联网用户和NS普及率两个方面全面反映了计算机NS的现状。到2020年,中国居民使用互联网的人数将达到10.34亿,77.3%的网民基本了解NS。其次,分析了神经网络对计算机网络加密技术的影响。结果表明,在计算机加密技术中使用神经网络不仅有助于提高安全性和方便性,而且可以防止数据的二次传输,防止相关信息的泄露。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computer Network Security Encryption Technology Based on Neural Network
With the rapid development of computer networks and information technology today, people are more inclined to use network systems to achieve various data exchanges. Alibaba, Tencent and other companies' virtual payment has become the mainstream payment method. Due to the globalization and openness of the network, anyone can freely enter and exit, which brings huge hidden dangers to NS(network security). NS has become an important issue that we have to face. Once important information is stolen, it is likely to cause very large losses to individuals and even the society. This article mainly studies the computer NS encryption technology of neural network. First of all, the current situation of computer NS is comprehensively reflected from the two aspects of domestic Internet users and NS penetration rate in recent years. By 2020, the number of Chinese residents using the Internet has reached 1.034 billion, and 77.3% of Internet users are generally aware of NS. Secondly, it analyzes the effect of NN(neural network) on computer NS encryption technology. The results show that the use of NN in computer encryption technology not only helps to improve security and convenience, but also prevents the secondary transmission of data and prevents related information leakage.
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