Item type |
学術雑誌論文 / Journal Article.(1) |
公開日 |
2019-08-26 |
書誌情報 |
en : IEEE Transactions on Big Data
巻 4,
号 3,
p. 408-417,
発行日 2018-09-01
|
タイトル |
|
|
タイトル |
Big Data Analysis-based Security Situational Awareness for Smart Grid |
|
言語 |
en |
言語 |
|
|
言語 |
eng |
キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Smart grid |
キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
security situation assessment |
キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
big data |
キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
game theory |
キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
association analysis |
資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
アクセス権 |
|
|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
著者 |
WU, Jun
太田, 香
董, 冕雄
LI, Jianhua
WANG, Hongkai
|
室蘭工業大学研究者データベースへのリンク |
|
|
表示名 |
太田 香(OTA Kaoru) |
|
URL |
http://rdsoran.muroran-it.ac.jp/html/100000140_ja.html |
室蘭工業大学研究者データベースへのリンク |
|
|
表示名 |
董 冕雄(DONG Mianxiong) |
|
URL |
http://rdsoran.muroran-it.ac.jp/html/100000145_ja.html |
抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Advanced communications and data processing technologies bring great benefits to the smart grid. However, cyber-security threats also extend from the information system to the smart grid. The existing security works for smart grid focus on traditional protection and detection methods. However, a lot of threats occur in a very short time and overlooked by exiting security components. These threats usually have huge impacts on smart gird and disturb its normal operation. Moreover, it is too late to take action to defend against the threats once they are detected, and damages could be difficult to repair. To address this issue, this paper proposes a security situational awareness mechanism based on the analysis of big data in the smart grid. Fuzzy cluster based analytical method, game theory and reinforcement learning are integrated seamlessly to perform the security situational analysis for the smart grid. The simulation and experimental results show the advantages of our scheme in terms of high efficiency and low error rate for security situational awareness. |
|
言語 |
en |
出版者 |
|
|
出版者 |
IEEE |
|
言語 |
en |
出版者版へのリンク |
|
|
表示名 |
10.1109/TBDATA.2016.2616146 |
|
URL |
https://doi.org/10.1109/TBDATA.2016.2616146 |
DOI |
|
|
関連タイプ |
isVersionOf |
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
10.1109/TBDATA.2016.2616146 |
日本十進分類法 |
|
|
主題Scheme |
NDC |
|
主題 |
007 |
ISSN |
|
|
収録物識別子タイプ |
EISSN |
|
収録物識別子 |
2332-7790 |
権利 |
|
|
言語 |
en |
|
権利情報 |
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
著者版フラグ |
|
|
出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
フォーマット |
|
|
内容記述タイプ |
Other |
|
内容記述 |
application/pdf |