Computer Network Information Security Analysis and Management Research Based on Improved Wavelet Neural Network

Kun Qi
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引用次数: 1

Abstract

With the wide use of computer network, the network information security problem closely related to people has become the focus of attention in contemporary society. In today's society, e-banking, e-commerce and other network services are quietly entering people's lives. Along with it, cyber attacks are also increasing. Based on the gradual application of computing forms such as cloud computing and big data, the changes of data centralization, computing centralization and network complexity are gradually obvious. Based on the gradual application of computing forms such as cloud computing and big data, the changes of data centralization, computing centralization and network complexity are gradually obvious. If people's online life is not guaranteed, it will bring serious disadvantages to people's daily life. On the basis of analyzing the basic theory, this paper discusses the loopholes in network information security management at present, and then puts forward the improvement measures of network data security management based on improved wavelet neural network.
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基于改进小波神经网络的计算机网络信息安全分析与管理研究
随着计算机网络的广泛应用,与人们密切相关的网络信息安全问题已成为当代社会关注的焦点。在当今社会,电子银行、电子商务等网络服务正在悄然进入人们的生活。与此同时,网络攻击也在增加。基于云计算、大数据等计算形式的逐步应用,数据集中化、计算集中化、网络复杂性的变化逐渐明显。基于云计算、大数据等计算形式的逐步应用,数据集中化、计算集中化、网络复杂性的变化逐渐明显。如果人们的网络生活得不到保障,将会给人们的日常生活带来严重的不利影响。在分析基本理论的基础上,探讨了目前网络信息安全管理存在的漏洞,进而提出了基于改进小波神经网络的网络数据安全管理改进措施。
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