A Study on Detection Method of Web Attack Using Machine Learning 


Vol. 45,  No. 9, pp. 1642-1650, Sep.  2020
10.7840/kics.2020.45.9.1642


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  Abstract

Our society is becoming increasingly dependent on information technology, and institutions and companies are providing various customized services using innovative technologies such as the Internet of Things, the cloud, big data and artificial intelligence. The vast amount of data collected is effectively processed through distributed technology that efficiently utilizes computer resources, but on the other hand, it also creates a variety of security vulnerabilities. A security vulnerability is a pathway to cyberattacks, which increases the likelihood of infiltration by bypassing existing security systems. Since there is a limit to the proper response of the existing information security system based on signature detection, various efforts are being made to utilize artificial intelligence technology as an alternative. In this study, the experiment was conducted by detecting attacks coming into the actual operating homepage with artificial intelligence technology and comparing them with the detection details of the existing information security system. Although the scope of research has been limited to web attacks due to limitations in the experimental environment, follow-up research expects to contribute to strengthening the organization"s actual level of information security by applying artificial intelligence technology to various types of cyber attack responses and presenting improvement measures for false detection.

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  Cite this article

[IEEE Style]

H. Rou and G. Kim, "A Study on Detection Method of Web Attack Using Machine Learning," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 9, pp. 1642-1650, 2020. DOI: 10.7840/kics.2020.45.9.1642.

[ACM Style]

Ho-Gun Rou and Gwang-Yong Kim. 2020. A Study on Detection Method of Web Attack Using Machine Learning. The Journal of Korean Institute of Communications and Information Sciences, 45, 9, (2020), 1642-1650. DOI: 10.7840/kics.2020.45.9.1642.

[KICS Style]

Ho-Gun Rou and Gwang-Yong Kim, "A Study on Detection Method of Web Attack Using Machine Learning," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 9, pp. 1642-1650, 9. 2020. (https://doi.org/10.7840/kics.2020.45.9.1642)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880