Towards privacy and ownership preserving of outsourced health data in IoT-cloud context

In this paper, we propose a novel data-owner centric privacy model for in-home-monitoring applications, that implements a promising attribute-based encryption (ABE) to reinforce the data-owner access control and the security of anonymous data access. This proposed protocol avoids threats from curious cloud service providers. Unlike other schemes that implement ABE by outsourcing the heavy computational tasks such as encryption and decryption processes, we propose a framework in which we externalize the complete ABE-encryption algorithms to avoid complex outsourcing process and use well know efficient symmetric encryption in constrained devices. We have performed an experimental analysis to show how much gain allows such offloading.