(Enter summary)
Abstract: Despite the necessity of protecting information stored in database systems (DBS), existing security models are insufficient to prevent misuse, especially insider abuse by legitimate users. Further, concepts for misuse detection in DBS have not been adequately addressed by existing research in misuse detection. Even though there are available means to guard the information stored in the database system against misuse, they are seldom used by security officers because security policies of the... (Update)
Context of citations to this paper: More
.... profiles and data access patterns in particular from audit logs generated by information systems (see, e.g. [BBK99, CGL99b, CGL99a, FP96, 1 LSM98, MGJ99, Sil99]) Profiles describe the normal behavior of a user or user group regarding the usage of the system and associated...
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BibTeX entry: (Update)
Christina Yip Chung, Michael Gertz, and Karl Levitt. DEMIDS: A misuse detection system for database systems. In Third International IFIP TC-11 WG11.5 Working Conference on Integrity and Internal Control in Information Systems, pages 159--178, Kluwer Academic Publishers, 1999. http://citeseer.ist.psu.edu/chung99demids.html More
@inproceedings{ chung99demids,
author = "Christina Yip Chung and Michael Gertz and Karl N. Levitt",
title = "{DEMIDS}: A Misuse Detection System for Database Systems",
booktitle = "{IICIS}",
pages = "159-178",
year = "1999",
url = "citeseer.ist.psu.edu/chung99demids.html" }
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