Home // SECURWARE 2016, The Tenth International Conference on Emerging Security Information, Systems and Technologies // View article

General Model for Personal Data Sensitivity Determination

Authors:
Tomáš Loveček
Marián Magdolen
Jozef Ristvej
Martin Hromada

Keywords: Personal data protection; security measures, data security; privacy

Abstract:
This article is a presentation of a general model for personal data sensitivity determination, which is based on early PhD research on personal data protection. Protecting privacy and personal data is in current environment a more and more challenging task not only for government institutions, but for small and large businesses as well. With the information technology advancements more and more personal data are processed automatically each year. That is the reason why effective, adequate and economic security measures have to be adopted to protect privacy of data subjects. But applying security measures blindly without deeper knowledge about sensitivity of such personal data, will not address the expectations for both, processors, for cost and maintenance effectiveness and data subjects, for most secure and trustworthy security measures. To overcome this conflict of expectations, a model for personal data sensitivity was created as a tool to evaluate the sensitivity and assign appropriate security measures.

Pages: 276 to 280

Copyright: Copyright (c) IARIA, 2016

Publication date: July 24, 2016

Published in: conference

ISSN: 2162-2116

ISBN: 978-1-61208-493-0

Location: Nice, France

Dates: from July 24, 2016 to July 28, 2016