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Data Mining Usage in Corporate Information Security: Intrusion Detection Applications Cover

Data Mining Usage in Corporate Information Security: Intrusion Detection Applications

Open Access
|May 2017

Abstract

Background: The globalization era has brought with it the development of high technology, and therefore new methods of preserving and storing data. New data storing techniques ensure data are stored for longer periods of time, more efficiently and with a higher quality, but also with a higher data abuse risk. Objective: The goal of the paper is to provide a review of the data mining applications for the purpose of corporate information security, and intrusion detection in particular. Methods/approach: The review was conducted using the systematic analysis of the previously published papers on the usage of data mining in the field of corporate information security. Results: This paper demonstrates that the use of data mining applications is extremely useful and has a great importance for establishing corporate information security. Data mining applications are directly related to issues of intrusion detection and privacy protection. Conclusions: The most important fact that can be specified based on this study is that corporations can establish a sustainable and efficient data mining system that will ensure privacy and successful protection against unwanted intrusions.

DOI: https://doi.org/10.1515/bsrj-2017-0005 | Journal eISSN: 1847-9375 | Journal ISSN: 1847-8344
Language: English
Page range: 51 - 59
Submitted on: Jul 7, 2016
Accepted on: Nov 18, 2016
Published on: May 18, 2017
Published by: IRENET - Society for Advancing Innovation and Research in Economy
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2017 Masoud Al Quhtani, published by IRENET - Society for Advancing Innovation and Research in Economy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.