Research Article
Secret Key Generation by Virtual Link Estimation
@ARTICLE{10.4108/eai.28-9-2015.2261448, author={Chitra Javali and Girish Revadigar and Ming Ding and Sanjay Jha}, title={Secret Key Generation by Virtual Link Estimation}, journal={EAI Endorsed Transactions on Security and Safety}, volume={3}, number={8}, publisher={ACM}, journal_a={SESA}, year={2015}, month={12}, keywords={body-to-body communication, physical layer security, secret key generation}, doi={10.4108/eai.28-9-2015.2261448} }
- Chitra Javali
Girish Revadigar
Ming Ding
Sanjay Jha
Year: 2015
Secret Key Generation by Virtual Link Estimation
SESA
EAI
DOI: 10.4108/eai.28-9-2015.2261448
Abstract
In recent years, researchers have explored using unique radio propagation characteristics between two devices for extracting symmetric keys. However, the state-of-the-art has the following limitations: (i) paying more attention to only when the two devices are in communication range, and (ii) generating keys only when the devices are in motion. Secret key generation for devices which are not in communication range and for stationary nodes is quite a challenging task. In this paper, we study the feasibility of generating secret keys between two devices which do not possess any direct link with the help of a trusted relay. We propose and implement our protocol using off-the-shelf commercially available resource constrained devices suitable for health-care applications which are a vital part of pervasive networks. We conduct an extensive set of experiments in an indoor environment for various scenarios involving stationary and mobile nodes. Our results show that the key generation rate increases by 20 times compared to the existing mechanisms using the same sampling frequency. We analyse the mutual information shared between the legitimate devices and eavesdroppers and our results reveal that, when at least any two of the three legitimate devices are mobile, an eavesdropper cannot obtain sufficient useful information to guess the shared keys.
Copyright © 2015 C. Javali et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.