1 |
J. Chung, C. Gulcehre, K. Cho, Y. Bengio, "Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling," In NIPS 2014 Workshop on Deep Learning, 2014.
|
2 |
DACON, Industrial Control Systems Security Threat Detection AI Competition https://dacon.io/ompetitions/official/235624/overview/
|
3 |
H. Shin, W. Lee, J. H. Yun, H. Kim, "HAI 1.0: HIL-based Augmented ICS Security Dataset," 13th USENIX Workshop on Cyber Security Experimentation and Test (CSET), 2020.
|
4 |
TaPR: W.-Hwang et al. "Time-Series Aware Precision and Recall for Anomaly Detection: Considering Variety of Detection Result and Addressing Ambiguous Labeling," In Proc. of CIKM, pp.2241-2244, 2019.
|
5 |
eTaPR, https://www2.slideshare.net/daconist/etapr-237428659?ref=https://dacon.io/
|
6 |
X. Chen, Y. Zhan, "Multi-scale anomaly detection algorithm based on infrequent pattern of time series," Computational and Applied Mathematics, VOL.214, pp.227-237, 2008. DOI: 10.1016/j.cam.2007.02.027
DOI
|