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Enhanced insider threat detection model that increases data availability

  • University of Arkansas System

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

4 Scopus citations

Abstract

This paper demonstrates how to prevent or mitigate insider threats in relational databases. It shows how different order of accesses to the same data items may pose different levels of threat. Moreover, it states the conditions that are required to regard a data item as expired. In addition, it introduces the two different methods of executing insiders' tasks, and how to prevent insider threat in those. The models presented in this paper organize accesses to data items in a particular sequence so that the availability of data items is maximized and the expected threat is minimized to the lowest level. Furthermore, it determines when to give an insider an incorrect but acceptable value of a risky data item in order to prevent a possible threat.

Original languageEnglish
Title of host publicationDistributed Computing and Internet Technology - 7th International Conference, ICDCIT 2011, Proceedings
Pages267-277
Number of pages11
DOIs
StatePublished - 2011
Externally publishedYes
Event7th International Conference on Distributed Computing and Internet Technology, ICDCIT 2011 - Bhubaneshwar, India
Duration: 9 Feb 201112 Feb 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6536 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Distributed Computing and Internet Technology, ICDCIT 2011
Country/TerritoryIndia
CityBhubaneshwar
Period9/02/1112/02/11

Keywords

  • Data Availability
  • Databases
  • Insider Threat
  • Knowledgebase

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