Latent Variable Based Anomaly Detection in Network System Logs
Author:
Affiliation:
1. Graduate School of Information Science and Technology, The University of Tokyo
2. National Institute of Informatics
3. Department of Informatics, Sokendai
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E102.D/9/E102.D_2018OFP0007/_pdf
Reference24 articles.
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2. [2] E. Baseman, S. Blanchard, and E. Zongzelimyuntedu, “Relational Synthesis of Text and Numeric Data for Anomaly Detection on Computing System Logs,” Proc. IEEE ICMLA'16, pp.2-5, 2016.
3. [3] J. Zhong, W. Guo, and Z. Wang, “Study on network failure prediction based on alarm logs,” Proc. ICBDSC'16, pp.23-29, 2016.
4. [4] M. Moh, S. Pininti, S. Doddapaneni, and T.-S. Moh, “Detecting Web Attacks Using Multi-stage Log Analysis,” Proc. IEEE IACC'16, pp.733-738, 2016. 10.1109/iacc.2016.141
5. [5] M. Shatnawi and M. Hefeeda, “Real-time failure prediction in online services,” Proc. IEEE INFOCOM'15, pp.1391-1399, 2015. 10.1109/infocom.2015.7218516
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