Proceedings of the 2017 International Conference on Management Science and Management Innovation (MSMI 2017)

Determination of Personal Data Sensitivity and Security Measures Assignment

Authors
Lovecek Tomasz, Ristvej Jozef, Magdolen Mari n, Ondrejka Roman
Corresponding Author
Lovecek Tomasz
Available Online June 2017.
DOI
https://doi.org/10.2991/msmi-17.2017.1How to use a DOI?
Keywords
personal data protection; sensitivity; security measures; data security; privacy
Abstract
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. By 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 system for evaluating personal data sensitivity was created, as a tool to assign appropriate security measures according the correct level of sensitivity. This system complements current security measures assignment methods, which do not include data subjects to the process.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Cite this article

TY  - CONF
AU  - Lovecek Tomasz
AU  - Ristvej Jozef
AU  - Magdolen Mari n
AU  - Ondrejka Roman
PY  - 2017/06
DA  - 2017/06
TI  - Determination of Personal Data Sensitivity and Security Measures Assignment
BT  - Proceedings of the 2017 International Conference on Management Science and Management Innovation (MSMI 2017)
PB  - Atlantis Press
SP  - 1
EP  - 5
SN  - 2352-5428
UR  - https://doi.org/10.2991/msmi-17.2017.1
DO  - https://doi.org/10.2991/msmi-17.2017.1
ID  - Tomasz2017/06
ER  -