Secret Key Generation Rate vs. Reconciliation Cost Using Wireless Channel Characteristics in Body Area Networks

Abstract

Abstract-In this paper, we investigate the feasibility of realtime derivation of cryptographic keys in body area networks using unique characteristics of the underlying wireless channel. We perform experiments to confirm that motion does indeed provide significant highly correlated randomness on either end of the wireless link between basestation and mobile mote to enable real-time key generation. Furthermore, we demonstrate that channel characteristics for a dynamic body area network consist of two different components, a fast and a slow component, each of which make a qualitatively different contribution to key generation. These components can be isolated to address specific needs of the application scenario: the fast component can yield high entropy keys at a fast rate between basestation and mobile mote with some bit disagreement between the two devices; the slow component generates keys at a lower rate but with very high level of bit agreement. Our experimental results highlight this tradeoff, and our key generation protocol details the key extraction process.

Decorrelating secret bit extraction via channel hopping in body area networks

“…In [14], the authors demonstrate an RSS-based key generation scheme for body area networks where the Savitzky Golay filter is used to isolate different frequency components of the dynamic wireless channel, highlighting their individual contribution to key generation. Temporal diversity is ensured by sampling the wireless channel at very low rates.…”

Research and Mass Deployment of Non-cognitive Authentication Strategy Based on Campus Wireless Network

“…As the wireless network became the main Internet way and the country's attention was drew to the network security, it was imperative to enable Portal access certification [6][7][8][9][10]. In order to implement the deployment of Portal access, and to improve the experience of the Internet, the combination of Portal and Mac were used in the whole school.…”

Securing First-Hop Data Provenance for Bodyworn Devices Using Wireless Link Fingerprints

“…TelosB [29] [30] and MicaZ motes [31] [32] [33]. In [29], the authors propose a solution allowing multiple sensors worn by a subject to authenticate each other, and in [30], to undertake authenticated secret-key agreement.…”

“…In [29], the authors propose a solution allowing multiple sensors worn by a subject to authenticate each other, and in [30], to undertake authenticated secret-key agreement. The authors in [31] decompose the wireless channel into fast and slow components, enabling the user to configure secretkey generation as per his requirements. [32] suggest the use of filtering techniques to reduce the effects of noise and asymmetric components in the channel profile and further improve the correlation between Alice and Bob for improved secret-key agreement.…”