• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

Interactive Visual Analytic Approach for Anomaly Detection in BGP Network Data


So-mi Choi, Son-yong Kim, Jae-yeon Lee, Jang-hyuk Kauh, Koo-hyung Kwon, Jae-gul Choo, Journal of Internet Computing and Services, Vol. 23, No. 5, pp. 135-143, Oct. 2022
10.7472/jksii.2022.23.5.135, Full Text:
Keywords: Border Gateway Protocol, Anomaly Detection, Interactive Visual Analytic, Spatio-temporal Analysis

Abstract

As the world has implemented social distancing and telecommuting due to the spread of COVID-19, real-time streaming sessions based on routing protocols have increased dependence on the Internet due to the activation of video and voice-related content services and cloud computing. BGP is the most widely used routing protocol, and although many studies continue to improve security, there is a lack of visual analysis to determine the real-time nature of analysis and the mis-detection of algorithms. In this paper, we analyze BGP data, which are powdered as normal and abnormal, on a real-world basis, using an anomaly detection algorithm that combines statistical and post-processing statistical techniques with Rule-based techniques. In addition, we present an interactive spatio-temporal analysis plan as an intuitive visualization plan and analysis result of the algorithm with a map and Sankey Chart-based visualization technique.


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Cite this article
[APA Style]
Choi, S., Kim, S., Lee, J., Kauh, J., Kwon, K., & Choo, J. (2022). Interactive Visual Analytic Approach for Anomaly Detection in BGP Network Data. Journal of Internet Computing and Services, 23(5), 135-143. DOI: 10.7472/jksii.2022.23.5.135.

[IEEE Style]
S. Choi, S. Kim, J. Lee, J. Kauh, K. Kwon, J. Choo, "Interactive Visual Analytic Approach for Anomaly Detection in BGP Network Data," Journal of Internet Computing and Services, vol. 23, no. 5, pp. 135-143, 2022. DOI: 10.7472/jksii.2022.23.5.135.

[ACM Style]
So-mi Choi, Son-yong Kim, Jae-yeon Lee, Jang-hyuk Kauh, Koo-hyung Kwon, and Jae-gul Choo. 2022. Interactive Visual Analytic Approach for Anomaly Detection in BGP Network Data. Journal of Internet Computing and Services, 23, 5, (2022), 135-143. DOI: 10.7472/jksii.2022.23.5.135.