Predicting and preventing insider threat in relational database systems

Qussai Yaseen; Brajendra Panda

doi:10.1007/978-3-642-12368-9_30

Predicting and preventing insider threat in relational database systems

Qussai Yaseen
, Brajendra Panda

University of Arkansas System

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

28 Scopus citations

Abstract

This paper investigates the problem of insider threat in relational database systems. It defines various types of dependencies as well as constraints on dependencies that may be used by insiders to infer unauthorized information. Furthermore, it introduces the Constraint and Dependency Graph (CDG), and the Dependency Matrix that are used to represent dependencies and constraints on them. Furthermore, it presents an algorithm for constructing insiders knowledge graph, which shows the knowledgebase of insiders. In addition, the paper introduces the Threat Prediction Graph (TPG) to predict and prevent insider threat.

Original language	English
Title of host publication	Information Security Theory and Practices
Subtitle of host publication	Security and Privacy of Pervasive Systems and Smart Devices - 4th IFIP WG 11.2 International Workshop, WISTP 2010, Proceedings
Pages	368-383
Number of pages	16
DOIs	https://doi.org/10.1007/978-3-642-12368-9_30
State	Published - 2010
Externally published	Yes
Event	4th IFIP WG 11.2 International Workshop on Information Security Theory and Practices: Security and Privacy of Pervasive Systems and Smart Devices, WISTP 2010 - Passau, Germany Duration: 12 Apr 2010 → 14 Apr 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6033 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th IFIP WG 11.2 International Workshop on Information Security Theory and Practices: Security and Privacy of Pervasive Systems and Smart Devices, WISTP 2010
Country/Territory	Germany
City	Passau
Period	12/04/10 → 14/04/10

Keywords

Dependencies
Insiderthreat
Relational database
Security

Access to Document

10.1007/978-3-642-12368-9_30

Cite this

Yaseen, Q., & Panda, B. (2010). Predicting and preventing insider threat in relational database systems. In Information Security Theory and Practices: Security and Privacy of Pervasive Systems and Smart Devices - 4th IFIP WG 11.2 International Workshop, WISTP 2010, Proceedings (pp. 368-383). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6033 LNCS). https://doi.org/10.1007/978-3-642-12368-9_30

Yaseen, Qussai ; Panda, Brajendra. / Predicting and preventing insider threat in relational database systems. Information Security Theory and Practices: Security and Privacy of Pervasive Systems and Smart Devices - 4th IFIP WG 11.2 International Workshop, WISTP 2010, Proceedings. 2010. pp. 368-383 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Yaseen, Q & Panda, B 2010, Predicting and preventing insider threat in relational database systems. in Information Security Theory and Practices: Security and Privacy of Pervasive Systems and Smart Devices - 4th IFIP WG 11.2 International Workshop, WISTP 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6033 LNCS, pp. 368-383, 4th IFIP WG 11.2 International Workshop on Information Security Theory and Practices: Security and Privacy of Pervasive Systems and Smart Devices, WISTP 2010, Passau, Germany, 12/04/10. https://doi.org/10.1007/978-3-642-12368-9_30

Predicting and preventing insider threat in relational database systems. / Yaseen, Qussai; Panda, Brajendra.
Information Security Theory and Practices: Security and Privacy of Pervasive Systems and Smart Devices - 4th IFIP WG 11.2 International Workshop, WISTP 2010, Proceedings. 2010. p. 368-383 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6033 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - This paper investigates the problem of insider threat in relational database systems. It defines various types of dependencies as well as constraints on dependencies that may be used by insiders to infer unauthorized information. Furthermore, it introduces the Constraint and Dependency Graph (CDG), and the Dependency Matrix that are used to represent dependencies and constraints on them. Furthermore, it presents an algorithm for constructing insiders knowledge graph, which shows the knowledgebase of insiders. In addition, the paper introduces the Threat Prediction Graph (TPG) to predict and prevent insider threat.

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DO - 10.1007/978-3-642-12368-9_30

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SN - 9783642123672

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Yaseen Q, Panda B. Predicting and preventing insider threat in relational database systems. In Information Security Theory and Practices: Security and Privacy of Pervasive Systems and Smart Devices - 4th IFIP WG 11.2 International Workshop, WISTP 2010, Proceedings. 2010. p. 368-383. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-12368-9_30

Predicting and preventing insider threat in relational database systems

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Keywords

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