Enterprise Insider Detection as an Integer Programming Problem

  • Sergii V. Kavun
  • Ivan V. Sorbat
  • Vyacheslav V. Kalashnikov
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 16)

Abstract

The authors propose a new approach to the mathematical interpretation to overcome the problems associate with the identification (detect) of the unauthorized acquisition (intentional and accidental) of information by insiders within an enterprise of any industry. The approach is based on the use of mathematical tools based on integer programming. Secondly, the practical implementation of this approach has suggested that this approach has possible uses for applied software or as part of analytical tool to detect high risk behavior. This new approach can be using in complex problems with other tools or applications for detection of insiders within different enterprises. The authors propose a new approach that can be used as a tool within complex enterprises to increase the accuracy of detecting unauthorized activities of insiders.

Keywords

Functional Structure Restricted Access Shadow Economy Information Leakage Economic Security 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Sergii V. Kavun
    • 1
  • Ivan V. Sorbat
    • 1
  • Vyacheslav V. Kalashnikov
    • 2
    • 3
    • 4
  1. 1.KhNEUKharkivUkraine
  2. 2.ITESMMonterreyMexico
  3. 3.CEMI RASMoscowRussia
  4. 4.SumGUSumyUkraine

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