SecLoc: Encryption System Based on Compressive Sensing Measurements for Location Estimation

Dimitrios Milioris (1, 2, 3, 4) , Philippe Jacquet (1, 2)

1 Alcatel-Lucent Bell Labs France [Nozay]
2 LINCS - Laboratory of Information, Network and Communication Sciences
3 X - École polytechnique
4 HIPERCOM2 - High PERformance COMmunications

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.

Domaines: Informatique mobile; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Dimitrios Milioris, Philippe Jacquet. SecLoc: Encryption System Based on Compressive Sensing Measurements for Location Estimation. IEEE International Conference on Computer Communications (INFOCOM), Apr 2014, Toronto, Canada. ⟨hal-00961318⟩