Secure and energy-efficient life-logging in wireless pervasive environments

Abstract

The current proliferation of ubiquitous networking (e.g. WiFi, bluetooth) along with the high penetration of the pervasive devices (smart phones, tablets) have provided a substantial boost to life-logging; a framework for the every-day recording of sensitive and personal data of individuals. Life-logging systems usually consist of resource-constrained devices (sensors). Moreover, as for every emerging technology, life-logging is susceptible to a number of security threats. In this paper, we implement and evaluate a joint encryption and compression scheme using the current advances in compressed sensing theory. The evaluation shows that the reconstruction error is kept low even for high compression ratios, and the power consumption of the life-logging system significantly reduces. © 2013 Springer-Verlag Berlin Heidelberg.