1Low W L, Lee S Y,Teoh P. DIDAFIT: Detecting Intrusions in Databases Through Fingerprinting Transactions. In.. Proc. of the 4th Intl. Conf. on Enterprise Information Systems (ICEIS). 2002.264, 265, 267,269.
4WenkeLee, Salvatorej. Stolfo, Kuiw. Mok. Adaptive Intrusion Detection: A Data Mining Approach [J]. Artificial Intelligence Reviewl, 2000,4: 533-567.
5Yip R,Levitt K. Data Level Inference Detection in Database Systems. In.. Proc. of the 1 lth IEEE Computer Security Foundations Workshop, Rockport, Massachusetts, June 1998. 179-189.
6Chung C Y,Gertz M, Levitt K. DEMIDS.. A Misuse Detection System for Database Systems. In:The Third Annual IFIP TC-11 WG 11.5 Working Conf. on Integrity and Internal Control in Information Systems, 1999.
10Baraani-Dastijerdi A, Pieprzyk J, Safavi-Naini R.Security In Databases: A Survey Study: [TR-96-02].Department of Computer Science, The University of Wollongong, Wollongong,Australia, 1996
3McHugh J.Testing intrusion detection systems : a critique of the 1998and 1999 DARPA intrusion detection system evaluations as performed byLincoln Laboratory [J]. ACM transactions on Information and system Securi-ty, 2000,3(4): 262-294.
4Lee S,Low W, Wong P. Learning fingerprints for a database intru-sion detection system [J]. Computer Security — ESORICS 2002,2002:264-279.
7DOROTHY E,DENNING. An intrusion-detection model[J3. IEEE Transactions on Software Engineering, 1987,13(2) : 23-34.
8DENNING D. An intrusion detection model[J3. IEEE Transactions on Software Engineering, 1987,13(2) 222-232.
9MCHUGH J. Testing intrusion detection systems: a critique of the 1998 and 1999 DARPA intrusion detection system evaluations as performed by Lincoln Laboratory[J]. ACM transactions on Infor mation and system Security,2000, 3(4):262-294.
10LEE S, LOW W, WONG P. Learning fingerprints for a database in- trusion detection system[J]. Computer Security ESORICS, 2002, 2002(2) : 264-279.
