サイバーフィジカルシステム（あくあたん）のログから異常状態を自動検出した研究（M1 原田禎之さん)が，国際ワークショップ IWESEP2017 (co-located with ICST2017) の最優秀論文に選出されました！
Best research paper award of this year is "Log-based Anomaly Detection of CPS Using a Statistical Method" by Yoshiyuki Harad et al.!
— IEEE IWESEP 2017 (@iwesep) March 13, 2017
- Y. Harada, Y. Yamagata, O. Mizuno, and E. Choi, "Log-Based Anomaly Detection of CPS Using a Statistical Method," In Proc. of the 8th IEEE International Workshop on Empirical Software Engineering in Practice (IWESEP2017), pp. 1-6, March 2017. (Tokyo, Japan) (Acceptance rate: 62.5%, 10/16)
- Y. Harada, Y. Yamagata, O. Mizuno, and E. Choi, "Best Paper Award: a Log-Based Anomaly Detection of Cps Using a Statistical Method," In the 8th IEEE International Workshop on Empirical Software Engineering in Practice (IWESEP2017), March 2017.