Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 4
1128-1131

Research of database user behavior anomaly detection based on K-means and naive Bayes

Wang Xuren1,2
Feng Anran1,2
He Famei2,3
Ma Huizhen1,2
Yang Jie1,2
1. College of Information Engineering, Capital Normal University, Beijing 100048, China
2. Key Laboratory of Network Assessment Technology, Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China
3. Library, Beijing Institute of Technology, Beijing 100081, China
DOI: 10.19734/j.issn.1001-3695.2018.09.0755

Abstract

Aiming at database leakage caused by abnormal database user behavior, this paper proposed a database user ano-maly detection method based on K-means and naive Bayes algorithm. Firstly, the K-means clustering method obtained users' grouping based on the user's query statements and query results in the database historical audit logs; then, the naive Bayes classification algorithm constructed the user anomaly detection model. Compared with the model constructed by naive Bayes classification alone, the simplified representation of user behavior profile reduces computational redundancy and reduces trai-ning time by 81%. Applying K-means clustering method to obtaining users' grouping improves the detection accuracy by 7.06% and the F1 value by 3.33%. Experiments show that the proposed method greatly reduces the training time and achieves better detection results.

Foundation Support

国家自然科学基金资助项目(61373161)
中国科学院信息工程研究所中国科学院网络测评技术重点实验室2018开放课题

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.09.0755
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 4
Section: Technology of Information Security
Pages: 1128-1131
Serial Number: 1001-3695(2020)04-036-1128-04

Publish History

[2020-04-05] Printed Article

Cite This Article

王旭仁, 冯安然, 何发镁, 等. 基于K-means和naive Bayes的数据库用户行为异常检测研究 [J]. 计算机应用研究, 2020, 37 (4): 1128-1131. (Wang Xuren, Feng Anran, He Famei, et al. Research of database user behavior anomaly detection based on K-means and naive Bayes [J]. Application Research of Computers, 2020, 37 (4): 1128-1131. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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