TY - JOUR
T1 - PROTECTOR
T2 - Towards the protection of sensitive data in Europe and the US
AU - Huertas Celdrán, Alberto
AU - Gil Pérez, Manuel
AU - Mlakar, Izidor
AU - Alcaraz Calero, Jose M.
AU - García Clemente, Félix J.
AU - Martínez Pérez, Gregorio
AU - Bhuiyan, Zakirul A.
N1 - Funding Information:
This work has been partially supported by the Government of Ireland post-doc fellowship (grant code GOIPD/2018/466 of the Irish Research Council ), the Spanish Ministry of Science, Innovation and Universities (Grant No. RTI2018-095855-B-I00) , the European Regional Development (FEDER) Fund and the Ministry of Education, Science and Sport of the Republic of Slovenia , under the project SAIAL (Research No. ESRR/MIZŠ-SAIAL ).
Funding Information:
The types of policies supported by PROTECTOR are those aligned with the main citizens? rights considered by current data protection laws of EU and US (portability, erasure, scope, retention, anonymization, and consent). However, the PROTECTOR platform is flexible and generic enough to allow new types of policies in case of necessity (new rights provided by future data protection laws). Regarding the policies themselves, despite having designed them with enough fields to give excellent flexibility, policies are extensible, and new relationships and data model elements could be added if any new policy requires more expressiveness.This work has been partially supported by the Government of Ireland post-doc fellowship (grant code GOIPD/2018/466 of the Irish Research Council), the Spanish Ministry of Science, Innovation and Universities (Grant No. RTI2018-095855-B-I00), the European Regional Development (FEDER) Fund and the Ministry of Education, Science and Sport of the Republic of Slovenia, under the project SAIAL (Research No. ESRR/MIZ?-SAIAL).
Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/11/9
Y1 - 2020/11/9
N2 - The evolution of mobile multimedia computing and artificial intelligence represents a significant challenge in terms of real-time data processing and data protection management. It can be seen in the EU and US, where governments are adapting their regulation laws to meet current and future societal requirements. However, existing solutions provide limited capabilities and operate in isolation, focusing on protecting particular rights of citizens. The main contribution of the article at hand is a novel platform, called PROTECTOR, that protects sensitive data of EU and US citizens according to the rights provided by current EU/US data protection regulation laws. Three case studies prove how PROTECTOR deals with several citizen's rights in two different legislation environments, such as the EU GDPR and the US. Finally, a pool of experiments with a different number of citizens, policies, and data have demonstrated the feasibility of the proposed solution.
AB - The evolution of mobile multimedia computing and artificial intelligence represents a significant challenge in terms of real-time data processing and data protection management. It can be seen in the EU and US, where governments are adapting their regulation laws to meet current and future societal requirements. However, existing solutions provide limited capabilities and operate in isolation, focusing on protecting particular rights of citizens. The main contribution of the article at hand is a novel platform, called PROTECTOR, that protects sensitive data of EU and US citizens according to the rights provided by current EU/US data protection regulation laws. Three case studies prove how PROTECTOR deals with several citizen's rights in two different legislation environments, such as the EU GDPR and the US. Finally, a pool of experiments with a different number of citizens, policies, and data have demonstrated the feasibility of the proposed solution.
KW - Data protection policies
KW - EU GDPR
KW - Management platform
KW - Mobile multimedia computing
KW - Personalized data protection
KW - US data regulation
UR - http://www.scopus.com/inward/record.url?scp=85089214439&partnerID=8YFLogxK
U2 - 10.1016/j.comnet.2020.107448
DO - 10.1016/j.comnet.2020.107448
M3 - Article
AN - SCOPUS:85089214439
SN - 1389-1286
VL - 181
JO - Computer Networks
JF - Computer Networks
M1 - 107448
ER -