A Comprehensive Approach to Anomaly Detection in Relational Databases-Reference-Cited by-同舟云学术

A Comprehensive Approach to Anomaly Detection in Relational Databases

Published:2005 Issue: Volume: Page:207-221
ISSN:0302-9743
Container-title:Data and Applications Security XIX
language:
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Author:

Spalka Adrian,Lehnhardt Jan

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11535706_16

Reference8 articles.

1. Axelsson, S.:Intrusion Detection Systems: A Survey and Taxonomy’. Technical Report 99.15 Dept. of Computer Engineering, Chalmers University of Technology, Sweden (2000)

2. Burgess, M., Haugerud, H., Straumsnes, S., Reitan, T.: Measuring system normality. ACM Transactions on Computer Systems 20(2), 125–160 (2002)

3. Chung, Yip, C., Gertz, M., Levitt, K.: DEMIDS: A misuse detection system for database systems. In: IFIP WG11.5 3rd Working Conference on Integrity and Internal Control in Information Systems, pp. 159–178. Kluwer Academic Publishers, Dordrecht (1999)

4. Gao, D., Reiter, M.K., Song, D.: Gray-box extraction of execution graphs for anomaly detection. In: 11th ACM Conference on Computer and Communications Security, pp. 318–329. ACM Computer Press, New York (2004)

5. Gertz, M.: Data Content Monitoring for Security, Integrity and Availability: A Mission-Critical Line of Defense. In: IICIS 2002: IFIP WG11.5 5th Working Conference on Integrity and Internal Control in Information Systems, pp. 189–201. Kluwer Academic Publishers, Dordrecht (2003)

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