SecLoc: Encryption system based on compressive sensing measurements for location estimation

Abstract

In this paper we present an efficient encryption system based on Compressive Sensing, without the additional computational cost of a separate encryption protocol, when applied to indoor location estimation problems. The breakthrough of the method is the use of the weakly encrypted measurement matrices which are generated when solving the optimization problem to localize the source. It must be noted that in this method an alternative key is required to secure the system.