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:  HTML
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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