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Implementation of computer network user behavior forensic analysis system based on speech data system log

机译:基于语音数据系统日志的计算机网络用户行为法医分析系统的实现

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摘要

With the rapid development of Internet technology and the popularization and application of various terminals, human beings live in the era of big data. In the process of people's daily use of the network, all kinds of data are produced at all times. At the same time, the problem of information security is increasingly prominent and the situation is more and more complex. As the increasing threat of information security has caused irreparable economic losses to human beings, which seriously hinders the further development of information technology, it is urgent to combat computer crime. When users use search engine to get information, the whole process is recorded, including the user's query log. Through the analysis of these query logs, we can indirectly get the real needs of users, so as to provide reference for the optimization and improvement of search engine. The analysis of the network user behavior requires the analysis of the data generated by the network user behavior. The traditional manual data analysis and the single computer data transmission mode have not been able to better analyze the increasing data information. Therefore, we should think of an effective technology, which can effectively analyze the huge and complex data and show the results. Based on the log analysis of voice data system, this paper constructs a user behavior analysis system under the network environment. Experimental results show that the method proposed in this paper can effectively reflect the behavior of network users, and timely feedback.
机译:随着互联网技术的快速发展和各个终端的推广和应用,人类生活在大数据的时代。在人们日常使用网络的过程中,各种数据始终生产。与此同时,信息安全问题越来越突出,情况越来越复杂。随着信息安全越来越大的威胁导致人类的经济损失,严重阻碍了信息技术的进一步发展,迫在眉睫即将打击计算机犯罪。当用户使用搜索引擎获取信息时,记录整个过程,包括用户的查询日志。通过对这些查询日志的分析,我们可以间接地获得用户的真实需求,以便为搜索引擎的优化和改进提供参考。对网络用户行为的分析需要分析网络用户行为生成的数据。传统的手动数据分析和单个计算机数据传输模式尚未能够更好地分析增加的数据信息。因此,我们应该考虑一种有效的技术,可以有效地分析巨大和复杂的数据并显示结果。基于语音数据系统的日志分析,本文在网络环境下构建了用户行为分析系统。实验结果表明,本文提出的方法可以有效地反映网络用户的行为,以及及时反馈。

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