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| 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. | |
| ID | 745 |
| 分類 | 国際会議(査読付) |
| タグ | anomaly cps detection log-based method statistical aquatan |
| 表題 (title) |
Log-Based Anomaly Detection of CPS Using a Statistical Method |
| 表題 (英文) |
|
| 著者名 (author) |
Yoshiyuki Harada,Yoriyuki Yamagata,Osamu Mizuno,Eun-Hye Choi |
| 英文著者名 (author) |
Yoshiyuki Harada,Yoriyuki Yamagata,Osamu Mizuno,Eun-Hye Choi |
| 編者名 (editor) |
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| 編者名 (英文) |
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| キー (key) |
Yoshiyuki Harada,Yoriyuki Yamagata,Osamu Mizuno,Eun-Hye Choi |
| 書籍・会議録表題 (booktitle) |
Proc. of the 8th IEEE International Workshop on Empirical Software Engineering in Practice (IWESEP2017) |
| 書籍・会議録表題(英文) |
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| 巻数 (volume) |
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| 号数 (number) |
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| ページ範囲 (pages) |
1-6 |
| 組織名 (organization) |
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| 出版元 (publisher) |
IEEE CPS |
| 出版元 (英文) |
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| 出版社住所 (address) |
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| 刊行月 (month) |
3 |
| 出版年 (year) |
2017 |
| 採択率 (acceptance) |
62.5%, 10/16 |
| URL |
http://arxiv.org/abs/1701.03249 |
| 付加情報 (note) |
Tokyo, Japan |
| 注釈 (annote) |
DOI 10.1109/IWESEP.2017.12 |
| 内容梗概 (abstract) |
Detecting anomalies of a cyber physical system (CPS), which is a complex system consisting of both physical and software parts, is important because a CPS often operates autonomously in an unpredictable environment.
However, because of the ever-changing nature and lack of a precise model for a CPS, detecting anomalies is still a challenging task. To address this problem, we propose applying an outlier detection method to a CPS log. By using a log obtained from an actual aquarium management system, we evaluated the effectiveness of our proposed method by analyzing outliers that it detected. By investigating the outliers with the developer of the system, we confirmed that some outliers indicate actual faults in the system. For example, our method detected failures of mutual exclusion in the control system that were unknown to the developer. Our method also detected transient losses of functionalities and unexpected reboots. On the other hand, our method did not detect anomalies that were too many and similar. In addition, our method reported rare but unproblematic concurrent combinations of operations as anomalies. Thus, our approach is effective at finding anomalies, but there is still room for improvement. |
| 論文電子ファイル | 利用できません． |
| BiBTeXエントリ |
@inproceedings{id745,
title = {Log-based Anomaly Detection of {CPS} Using a Statistical Method},
author = {Yoshiyuki Harada and Yoriyuki Yamagata and Osamu Mizuno and Eun-Hye Choi},
booktitle = {Proc. of the 8th IEEE International Workshop on Empirical Software Engineering in Practice (IWESEP2017)},
pages = {1-6},
publisher = {IEEE CPS},
month = {3},
year = {2017},
acceptance = {62.5\%, 10/16},
note = {Tokyo, Japan},
annote = {DOI 10.1109/IWESEP.2017.12},
}
|