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

• Published in: International journal of speech technology Vol. 23; no. 3; pp. 559 - 567
• Main Author: Lian, Jin
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2020; Springer Nature B.V
• Subjects: Artificial Intelligence; Computer networks; Computer terminals; Crime; Cybercrime; Data analysis; Data transmission; Economic impact; Engineering; Feedback; Forensic computing; Forensic linguistics; Human beings; Internet; Optimization; Search engines; Signal,Image and Speech Processing; Social Sciences; Technology assessment; User behavior; System log; Forensic analysis; Voice data analysis; Computer network; Data mining; User behavior
• ISSN: 1381-2416; 1572-8110
• DOI: 10.1007/s10772-020-09747-2

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.