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Intrusion Detection Technology

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Recommended Reading

  1. Axelsson S. Research in intrusion detection systems: a survey. In Technical Report 98-17 (revised in 1999). Chalmers University of Technology, 1999.

    Google Scholar 

  2. Bace R.G. Intrusion Detection. Macmillan Technical, New York, 2000.

    Google Scholar 

  3. Bertino E., Kamra A., Terzi E., and Vakali A. Intrusion detection in rbac-administered databases. In Proc. Asia-Pacific Comp. Syst. Arch. Conf., 2005, pp. 170–182.

    Google Scholar 

  4. Bertino E., Leggieri T., and Terzi E. Securing dbms: characterizing and detecting query floods. In Proc. 7th Int. Conf. on Information Security, 2004, pp. 195–206.

    Google Scholar 

  5. Huang Y., Fan W., Lee W., and Yu P. Cross-feature analysis for detecting ad-hoc routing anomalies. In Proc. 23rd Int. Conf. on Distributed Computing Systems, 2003, pp. 478.

    Google Scholar 

  6. Kruegel C., Mutz D., Robertson W., and Valeur F. Bayesian event classification for intrusion detection. In Proc. Asia-Pacific Comp. Syst. Arch. Conf., 2003.

    Google Scholar 

  7. Lane T. and Brodley C.E. Temporal sequence learning and data reduction for anomaly detection. ACM Trans. Inf. Syst. Secur., 2(3):295–331, 1999.

    Article  Google Scholar 

  8. Lee W. and Fan W. Mining system audit data: opportunities and challenges. ACM SIGMOD Rec., 30(4):35–44, 2001.

    Article  Google Scholar 

  9. Lee V.C.S., Stankovic J.A., and Son S.H. Intrusion detection in real-time database systems via time signatures. In Proc. IEEE Real Time Technology and Applications Symposium, 2000, pp. 124–133.

    Google Scholar 

  10. Lee W., Stolfo S.J., and Mok K.W. A data mining framework for building intrusion detection models. In Proc. IEEE Symp. on Security and Privacy, 1999, pp. 120–132.

    Google Scholar 

  11. Lee W. and Xiang D. Information-theoretic measures for anomaly detection. In IEEE Symp. on Security and Privacy, 2001, pp. 130–143.

    Google Scholar 

  12. Ramadas M., Ostermann S., and Tjaden B.C. Detecting anomalous network traffic with self-organizing maps. In Proc. 6th Int. Symp. Recent Advances in Intrusion Detection, 2003, pp. 36–54.

    Google Scholar 

  13. Stolfo S.J., Lee W., Chan P.K., Fan W., and Eskin E. Data mining-based intrusion detectors: an overview of the columbia ids project. ACM SIGMOD Rec., 30(4):5–14, 2001.

    Article  Google Scholar 

  14. Tener W.T. Discovery: an expert system in the commercial data security environment. In Proc. 4th IFIP TCII Int. Conf. on Security, 1986, pp. 261–268.

    Google Scholar 

  15. Wenhui S. and Tan D. A novel intrusion detection system model for securing web-based database systems. In Proc. 25th Annual Int. Computer Software Applications Conf., 2001, pp. 249–.

    Google Scholar 

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Author information

Authors and Affiliations

  1. IBM Almaden Research Center, San Jose, CA, USA

    Tyrone Grandison & Evimaria Terzi

Authors
  1. Tyrone Grandison
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  2. Evimaria Terzi
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Editor information

Editors and Affiliations

  1. College of Computing, Georgia Institute of Technology, 266 Ferst Drive, 30332-0765, Atlanta, GA, USA

    LING LIU (Professor) (Professor)

  2. Database Research Group David R. Cheriton School of Computer Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada

    M. TAMER ÖZSU (Professor and Director, University Research Chair) (Professor and Director, University Research Chair)

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© 2009 Springer Science+Business Media, LLC

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Grandison, T., Terzi, E. (2009). Intrusion Detection Technology. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_209

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