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MACRo 2015

Proceedings of the 5th International Conference on Recent Achievements in Mechatronics, Automation, Computer Sciences and Robotics

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Online
ISSN
2247-0948
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DATALEAK: Data Leakage Detection System

Adrienn Skrop
  • Department of Computer Science and Systems Technology, Faculty of Information Technology, University of Pannonia, Hungary, e-mail: skrop@dcs.uni-pannon.hu
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Published Online: 2015-05-09 | DOI: https://doi.org/10.1515/macro-2015-0011

Abstract

Data leakage is an uncontrolled or unauthorized transmission of classified information to the outside. It poses a serious problem to companies as the cost of incidents continues to increase. Many software solutions were developed to provide data protection. However, data leakage detection systems cannot provide absolute protection. Thus, it is essential to discover data leakage as soon as possible. The purpose of this research is to design and implement a data leakage detection system based on special information retrieval models and methods. In this paper a semantic informationretrieval based approach and the implemented DATALEAK application is presented.

Keywords : Data leakage; mathematical model; vector space; semantic similarity

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About the article

Received: 2015-01-23

Revised: 2015-02-09

Published Online: 2015-05-09

Published in Print: 2015-03-01


Citation Information: MACRo 2015, ISSN (Online) 2247-0948, DOI: https://doi.org/10.1515/macro-2015-0011.

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© 2015. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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