Aya: “An efficient access-controlled storage and processing for cloud-based sensed data”

Cloud computing seems to be the new paradigm platform where data owner can not only remotely store their data, but also require service provision attributed with ubiquity, reliability, high-performance, efficiency, and scalability. But applying these cloud advantages on huge sensed data which contains sensitive information implies critical data security issues. Because, this new vision service: `Cloud of Things´ arises some challenges in terms of user access control and outsourced data integrity and privacy protection as the data owner has no more the physical control of his data. Therefore several “Sensor-cloud” designs have been proposed to securely store and process sensed data. In this paper, we propose a new security architecture that tackles this challenge by reinforcing data owner access-controlled on outsourced service from public cloud environment. Specifically our solution is based on the design of an optimized implementation of CP-ABE algorithm for enhancing privacy. In addition our approach allows secure and efficient data owner access-controlled by using Attribute-Based encryption (ABE) in the perspective of a paring-based Cryptosystem (PBC) and lightweight token based authentication algorithm (using ECDSA) for the effectiveness of our solution in terms of computation and storage cost.