Title :
Statistical and Fuzzy Approach for Database Security
Author :
Lu, Gang ; Yi, Junkai ; Lü, Kevin
Author_Institution :
Beijing Univ. of Chem. Technol., Beijing
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.531
