重回帰分析のダミー変数選択によるWebシステムの業務別異常検知方式

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2013/07/01

タイトル(英語): An Anomaly Detection Method for Individual Service on Web-based System by Selection of Dummy Variables in Multiple Regression

著者名: 津田　祐輝（大阪大学大学院情報科学研究科），鮫島　正樹（大阪大学大学院情報科学研究科），秋吉　政徳（広島工業大学情報学部知的情報システム学科），薦田　憲久（大阪大学大学院情報科学研究科），吉野　松樹（日立製作所 ITプラットフォーム事業本部開発統括本部）

著者名(英語): Yuki Tsuda (Graduate School of Information Science and Technology Osaka University), Masaki Samejima (Graduate School of Information Science and Technology Osaka University), Masanori Akiyoshi (Department of Information Systems and Management Hiroshima Institute of Technology), Norihisa Komoda (Graduate School of Information Science and Technology Osaka University), Matsuki Yoshino (IT Platform Division Group, IT Platform R & D Management Division, Hitachi, Ltd.)

キーワード: 異常検知，重回帰分析，重相関係数，ダミー変数　　Anomaly Detection，Multiple Regression Analysis，Correlation Coefficient，Dummy Variable

要約(英語): This paper addresses detecting anomalies of individual services from their total resource usage on web-based system. Because the total resource usage is a linear combination of the number of accesses to each service, multiple regression analysis can be applied to estimate a resource usage per an access to each service as regression coefficients. However, the regression coefficients differ from the resource usage per an access of the services, which is caused by unstable resource usage per an access. We propose a method based on a multiple correlation coefficient R to identify anomaly time and anomaly services. The proposed method identifies anomaly time when R value is decreased. And the proposed method identifies the anomaly service by judging whether R value is increased or not after the selection of the dummy variable. The experimental result shows that the proposed method can identify all the anomaly time, and improves precision rate and recall rate of detecting anomaly services by 20% at least, respectively.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.133 No.7 （2013） 特集：平成24 年電気学会電子・情報・システム部門大会

本誌掲載ページ: 1410-1416 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/133/7/133_1410/_article/-char/ja/