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Mitigating insider threat on database integrity

  • University of Arkansas System
  • Yarmouk University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We have developed a model to predict and prevent potential damage caused by malicious transactions in a database system. The model consists of a number of rules sets that constrain the relationships among data items and transactions. It uses a graph called Predictive Dependency Graph to determine data flow patterns among data items. The model offers a mechanism to monitor suspicious insiders activities and potential harm to the database. Through simulation we have tested the effectiveness of the model. The results show the effectiveness of the proposed model in predicting damage that can occur by malicious transactions.

Original languageEnglish
Title of host publicationInformation Systems Security - 8th International Conference, ICISS 2012, Proceedings
Pages223-237
Number of pages15
DOIs
StatePublished - 2012
Externally publishedYes
Event8th International Conference on Information Systems Security, ICISS 2012 - Guwahati, India
Duration: 15 Dec 201219 Dec 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7671 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Information Systems Security, ICISS 2012
Country/TerritoryIndia
CityGuwahati
Period15/12/1219/12/12

Keywords

  • Database systems
  • Insider threat
  • Malicious transactions
  • Security

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