An Iterative Clustering Approach for Tracking Server Logs for Monitoring SCADA EMS/DMS-Reference-Cited by-同舟云学术

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An Iterative Clustering Approach for Tracking Server Logs for Monitoring SCADA EMS/DMS

Published:2021-10-22 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Electrical Power and Energy Conference (EPEC)
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Author:

Biswas Jit,Yau David K. Y.,Ming Yu,Lunn Kon Ih,Li Zihao,Wee Chua Kian,Nan Tan Keng,Zhimin Zhang,Hong Jimmy Chua Wai,Ann Tso Wai,Kean Heng Yong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9621301/9621363/09621623.pdf?arnumber=9621623

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reliability assessment of patched SCADA EMS/DMS servers through similarity matching;2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT);2022-04-24

2. Syslog Episode Mining for Tracking Behavior in SCADA servers;2022 International Conference on Science and Technology (ICOSTECH);2022-02-03

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