DocumentCode
468376
Title
Statistical and Fuzzy Approach for Database Security
Author
Lu, Gang ; Yi, Junkai ; Lü, Kevin
Author_Institution
Beijing Univ. of Chem. Technol., Beijing
Volume
3
fYear
2007
fDate
24-27 Aug. 2007
Firstpage
670
Lastpage
674
Abstract
A new type of database anomaly is described by addressing the concept of cumulated anomaly in this paper. Dubiety-determining model (DDM), which is a detection model basing on statistical and fuzzy set theories for cumulated anomaly, is proposed. DDM can measure the dubiety degree of each database transaction quantitatively. Software system architecture to support the DDM for monitoring database transactions is designed. We also implemented the system and tested it. Our experimental results show that the DDM method is feasible and effective.
Keywords
database management systems; fuzzy set theory; security of data; statistical analysis; database anomaly; database security; dubiety-determining model; fuzzy approach; statistical approach; Chemical technology; Data security; Distributed decision making; Fuzzy set theory; Intrusion detection; Monitoring; Neural networks; Relational databases; Statistics; Transaction databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2874-8
Type
conf
DOI
10.1109/FSKD.2007.531
Filename
4406321
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