Incorporating privacy by design in Body Sensor Networks for Medical Applications: A Privacy and Data Protection Framework
Computer Science and Information Systems, Tome 18 (2021) no. 1
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Privacy and Data protection are highly complex issues within eHealth/M-Health systems. These systems should meet specific requirements deriving from the organizations and users, as well as from the variety of legal obligations deriving from GDPR that dictate protection rights of data subjects and responsibilities of data controllers. To address that, this paper proposes a Privacy and Data Protection Framework that provides the appropriate steps so as the proper technical, organizational and procedural measures to be undertaken. The framework, beyond previous literature, supports the combination of privacy by design principles with the newly introduced GDPR requirements in order to create a strong elicitation process for deriving the set of the technical security and privacy requirements that should be addressed. It also proposes a process for validating that the elicited requirements are indeed fulfilling the objectives addressed during the Data Protection Impact Assessment (DPIA), carried out according to the GDPR.
Keywords:
privacy protection, data protection, GDPR, Framework
@article{CSIS_2021_18_1_a16,
author = {Christos Kalloniatis and Costas Lambrinoudakis and Mathias Musahl and Athanasios Kanatas and Stefanos Gritzalis},
title = {Incorporating privacy by design in {Body} {Sensor} {Networks} for {Medical} {Applications:} {A} {Privacy} and {Data} {Protection} {Framework}},
journal = {Computer Science and Information Systems},
year = {2021},
volume = {18},
number = {1},
url = {http://geodesic.mathdoc.fr/item/CSIS_2021_18_1_a16/}
}
TY - JOUR AU - Christos Kalloniatis AU - Costas Lambrinoudakis AU - Mathias Musahl AU - Athanasios Kanatas AU - Stefanos Gritzalis TI - Incorporating privacy by design in Body Sensor Networks for Medical Applications: A Privacy and Data Protection Framework JO - Computer Science and Information Systems PY - 2021 VL - 18 IS - 1 UR - http://geodesic.mathdoc.fr/item/CSIS_2021_18_1_a16/ ID - CSIS_2021_18_1_a16 ER -
%0 Journal Article %A Christos Kalloniatis %A Costas Lambrinoudakis %A Mathias Musahl %A Athanasios Kanatas %A Stefanos Gritzalis %T Incorporating privacy by design in Body Sensor Networks for Medical Applications: A Privacy and Data Protection Framework %J Computer Science and Information Systems %D 2021 %V 18 %N 1 %U http://geodesic.mathdoc.fr/item/CSIS_2021_18_1_a16/ %F CSIS_2021_18_1_a16
Christos Kalloniatis; Costas Lambrinoudakis; Mathias Musahl; Athanasios Kanatas; Stefanos Gritzalis. Incorporating privacy by design in Body Sensor Networks for Medical Applications: A Privacy and Data Protection Framework. Computer Science and Information Systems, Tome 18 (2021) no. 1. http://geodesic.mathdoc.fr/item/CSIS_2021_18_1_a16/