On database intrusion detection-Reference-Cited by-同舟云学术

On database intrusion detection

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2017 the 7th International Conference on Communication and Network Security - ICCNS 2017
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Author:

Khan Muhammad Imran¹,Foley Simon N.²,O'Sullivan Barry¹

Affiliation:

1. Insight Centre for Data Analytics, Department of Computer Science, University College Cork, Ireland

2. IMT Atlantique, LabSTICC, Université Bertange Loire, Rennes, France

Funder

Science Foundation Ireland

Publisher

ACM Press

Reference14 articles.

1. Khan, M. I., and Foley, S. N. 2016. Detecting anomalous behavior in DBMS logs. In Proceedings of the 11th International conference on Risks and Security of Internet and Systems (Roscoff, France, 5th-7th September 2016). CRiSIS2016. 147--152. DOI = https://doi.org/10.1007/978-3-319-54876-0_12

2. Verizon. 2016. Data Breach Investigations Report. 2016. Technical Report. Available online at: http://www.verizonenterprise.com/resources/reports/rp_DBIR_2016_Report_en_xg.pdf

3. Kemmerer, R. A., and Vigna., G. 2002. Intrusion detection: a brief history and overview. Computer 35, 4 (April 2002). 27--30. DOI = https://doi.org/10.1109/MC.2002.1012428

4. Forrest, S., Hofmeyr, S. A., Somayaji, A., and Longsta, T. A. 1996. A sense of self for Unix processes. In Proceedings 1996 IEEE Symposium on Security and Privacy, (1996) 120--128. DOI = https://doi.org/10.1109/SECPRI.1996.502675

5. Pieczul O., and Foley, S. N. 2016. Runtime Detection of Zero-Day Vulnerability Exploits in Contemporary Software Systems. In Proceedings of the 30th Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy (Trento, Italy, 18th-20th July, 2016). DBSec 2016. Springer International Publishing, Cham, 347--363. DOI = https://doi.org/10.1007/978-3-319-41483-6_24

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