TY - GEN
T1 - Privacy aware access control for cloud-based data platforms
AU - McCarthy, D´Onal
AU - Malone, Paul
AU - Hange, Johannes
AU - Doyle, Kenny
AU - Robson, Eric
AU - Conway, Dylan
AU - Ivanov, Stepan
AU - Radziwonowicz, Lukasz
AU - Kleinfeld, Robert
AU - Michalareas, Theodoros
AU - Kastrinogiannis, Timotheos
AU - Stasinos, Nikos
AU - Lampathaki, Fenareti
N1 - Funding Information:
The research and subsequent implementation reported in this paper has been funded by the European Community’s Seventh Framework Programme (FP7) under grant agreement FP7-ICT-317883.
Publisher Copyright:
©Springer International Publishing Switzerland 2015
PY - 2015
Y1 - 2015
N2 - This paper presents OPENi’s Personal Cloudlets framework as a novel approach to enhancing users access control and privacy over their persinal data on a cloud-based platform. This paper describes the OPENi concepts and the requirements that influenced the design and implementation of OPENi’s Personal Cloudlet Framework. We describe the architecture and how OPENi, through the use of REST based endpoints, object-based access control, OPENi Types, and stateless JSON Web Token (JWT), allows users share, reuse, and control access to their data across many mobile applications while maintaining cloud scalability. This paper also describes how a number of the Personal Cloudlet framework’s features enhance a users privacy and control. These features include the User Dashboard, the Privacy Preserving Data Aggregator, and the fine grained access control mechanism.
AB - This paper presents OPENi’s Personal Cloudlets framework as a novel approach to enhancing users access control and privacy over their persinal data on a cloud-based platform. This paper describes the OPENi concepts and the requirements that influenced the design and implementation of OPENi’s Personal Cloudlet Framework. We describe the architecture and how OPENi, through the use of REST based endpoints, object-based access control, OPENi Types, and stateless JSON Web Token (JWT), allows users share, reuse, and control access to their data across many mobile applications while maintaining cloud scalability. This paper also describes how a number of the Personal Cloudlet framework’s features enhance a users privacy and control. These features include the User Dashboard, the Privacy Preserving Data Aggregator, and the fine grained access control mechanism.
KW - Fine-grained access control
KW - Personal data
KW - Privacy
KW - Privacy-preserving data aggregator
UR - http://www.scopus.com/inward/record.url?scp=84951267074&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-25360-2_3
DO - 10.1007/978-3-319-25360-2_3
M3 - Conference contribution
AN - SCOPUS:84951267074
SN - 9783319253596
T3 - Communications in Computer and Information Science
SP - 26
EP - 37
BT - Cyber Security and Privacy - 4th Cyber Security and Privacy Innovation Forum, CSP Innovation Forum 2015, Revised Selected Papers
A2 - Felici, Massimo
A2 - Cleary, Frances
PB - Springer
Y2 - 28 April 2015 through 29 April 2015
ER -