Geodesic
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.

Voir la notice de l'article provenant de la source Computer Science and Information Systems website

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},
     publisher = {mathdoc},
     volume = {18},
     number = {1},
     year = {2021},
     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
PB  - mathdoc
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
%I mathdoc
%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/