Implementation of computer network user behavior forensic analysis system based on speech data system log
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Implementation of computer network user behavior forensic analysis system based on speech data system log Jin Lian1 Received: 16 February 2020 / Accepted: 12 August 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract 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. Keywords Voice data analysis · System log · Computer network · User behavior · Forensic analysis · Data mining
1 Introduction With the rapid popularization and development of the Internet, the data in the Internet also grows exponentially. It can be said that we are now in an era of information explosion. The term "big data" is used to describe and define the massive information produced in the era of information explosion. The U.S. government has released a special research plan for big data research and development, with an investment of 200 million US dollars for research. China Computer Society established a big data expert committee in October 2012, and released a research report in December to explain the hot issues and development trend of data science. Thus, we have been in the era of big data, which has become one of the most important and cutting-edge research in the field of computer science (Schenberg and Kukaye 2013; * Jin Lian [email protected] 1
School of Mathematics and Computer Science, Jianghan University, Hubei 430056, Wuhan, China
Jiajun 2015; Zengyong 2014; Siying 2015). These massive data hide a lot of valuable information knowledge, which will affect everyone’s study, work and life. In daily life, using search engin
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