Privacy Preserving Distributed Computation of Private Attributes for Collaborative Privacy Aware Usage Control Systems
2018 IEEE International Conference on Smart Computing (SMARTCOMP) (2018)
Taormina, Sicily, Ialy
Jun 18, 2018 to Jun 20, 2018
Collaborative smart services provide functionalities which exploit data collected from different sources to provide benefits to a community of users. Such data, however, might be privacy sensitive and their disclosure has to be avoided. In this paper, we present a distributed multi-tier framework intended for smart-environment management, based on usage control for policy evaluation and enforcement on devices belonging to different collaborating entities. The proposed framework exploits secure multi-party computation to evaluate policy conditions without disclosing actual value of evaluated attributes, to preserve privacy. As reference example, a smart-grid use case is presented.
data privacy, groupware, power engineering computing, smart power grids
G. Costantino, A. La Marra, F. Martinelli, P. Mori and A. Saracino, "Privacy Preserving Distributed Computation of Private Attributes for Collaborative Privacy Aware Usage Control Systems," 2018 IEEE International Conference on Smart Computing (SMARTCOMP), Taormina, Sicily, Ialy, 2018, pp. 315-320.