Privacy-preserving data collection and recovery of compressive sensing

Energy-efficient data collection and privacy-preserving data recovery have received much attention recently. We propose the first encryption framework for the computation-intensive basis pursuit problem to be securely solved in the cloud with the data being efficiently collected using compressive sensing. We provide security and efficiency analyses to show the effectiveness of our method. Simulations and comparison with state-of-the-art are also conducted.