Critical Events Detection Based on Alert Logs in Smart Grid

DOI

10.2991/acsr.k.191223.021How to use a DOI?

Keywords

smart grid, anomaly detection, critical event, log, alert

Abstract

Alert logs in the smart grid come from a variety of security devices and hosts. There are a large number of false alerts and low-threat alerts in the massive logs, which not only make the real threat difficult to be discovered, but also increase the difficulty of analysis. Therefore, based on the fact that there are anomalies in the process of the outbreak of security events, the concept of critical events and the critical event detection model in smart grid based on statistical analysis are proposed. The statistical analysis method is combined with the security event logs and the critical events detection algorithm is designed. The result from real data in the smart grid shows that the model can effectively detect critical events with an accuracy rate of 98%.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenmin Li
AU  - Ning Dong
AU  - Haoliang Zhao
AU  - Jianlin Jiao
AU  - Hao Xv
AU  - Bo Li
AU  - Minghui Gao
PY  - 2019
DA  - 2019/12/24
TI  - Critical Events Detection Based on Alert Logs in Smart Grid
BT  - Proceedings of the 2019 International Conference on Big Data, Electronics and Communication Engineering (BDECE 2019)
PB  - Atlantis Press
SP  - 93
EP  - 98
SN  - 2352-538X
UR  - https://doi.org/10.2991/acsr.k.191223.021
DO  - 10.2991/acsr.k.191223.021
ID  - Li2019
ER  -