Best Papers A Featurization Method to Improve Anomaly Detection Performance Using Login Logs
Vol. 47, No. 1, pp. 58-65, Jan. 2022
10.7840/kics.2022.47.1.58
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Cite this article
[IEEE Style]
S. Im, S. Kim, S. Shim, S. Koo, B. Cho, K. Kim, T. Kim, "A Featurization Method to Improve Anomaly Detection Performance Using Login Logs," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 1, pp. 58-65, 2022. DOI: 10.7840/kics.2022.47.1.58.
[ACM Style]
Sun-Young Im, Sang-soo Kim, Shinwoo Shim, Sung-mo Koo, Byoungmo Cho, Kwangsoo Kim, and Taekyu Kim. 2022. A Featurization Method to Improve Anomaly Detection Performance Using Login Logs. The Journal of Korean Institute of Communications and Information Sciences, 47, 1, (2022), 58-65. DOI: 10.7840/kics.2022.47.1.58.
[KICS Style]
Sun-Young Im, Sang-soo Kim, Shinwoo Shim, Sung-mo Koo, Byoungmo Cho, Kwangsoo Kim, Taekyu Kim, "A Featurization Method to Improve Anomaly Detection Performance Using Login Logs," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 1, pp. 58-65, 1. 2022. (https://doi.org/10.7840/kics.2022.47.1.58)