Securing Data Provenance in Body Area Networks Using Lightweight Wireless Link Fingerprints. Ali, S., T., Sivaraman, V., Ostry, D., & Jha, S. In Proceedings of the International Workshop on Trustworthy Embedded Devices (TrustED), pages 65-72, 2013. ACM.
Securing Data Provenance in Body Area Networks Using Lightweight Wireless Link Fingerprints [link]Website  abstract   bibtex   
Wireless bodyworn sensing devices are becoming popular for fitness, sports training and personalized healthcare applications. Securing the data generated by these devices is essential if they are to be integrated into the current health infrastructure and employed in medical applications. In this paper, we propose a mechanism to secure data provenance for these devices by exploiting symmetric spatio-temporal characteristics of the wireless link between two communicating parties. Our solution enables both parties to generate closely matching 'link' fingerprints which uniquely associate a data session with a wireless link such that a third party, at a later date, can verify the links the data was communicated on. These fingerprints are very hard for an eavesdropper to forge, lightweight compared to traditional provenance mechanisms, and allow for interesting security properties such as accountability and non-repudiation. We validate our solution with experiments using bodyworn devices in scenarios approximating actual device deployment, and we present optimization mechanisms. We believe this is a promising first step towards using wireless-link characteristics for data provenance in body area networks.
@inProceedings{
 title = {Securing Data Provenance in Body Area Networks Using Lightweight Wireless Link Fingerprints},
 type = {inProceedings},
 year = {2013},
 identifiers = {[object Object]},
 keywords = {provenance,radio,security,wban,wireless},
 pages = {65-72},
 websites = {http://dx.doi.org/10.1145/2517300.2517303},
 publisher = {ACM},
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 abstract = {Wireless bodyworn sensing devices are becoming popular for fitness, sports training and personalized healthcare applications. Securing the data generated by these devices is essential if they are to be integrated into the current health infrastructure and employed in medical applications. In this paper, we propose a mechanism to secure data provenance for these devices by exploiting symmetric spatio-temporal characteristics of the wireless link between two communicating parties. Our solution enables both parties to generate closely matching 'link' fingerprints which uniquely associate a data session with a wireless link such that a third party, at a later date, can verify the links the data was communicated on. These fingerprints are very hard for an eavesdropper to forge, lightweight compared to traditional provenance mechanisms, and allow for interesting security properties such as accountability and non-repudiation. We validate our solution with experiments using bodyworn devices in scenarios approximating actual device deployment, and we present optimization mechanisms. We believe this is a promising first step towards using wireless-link characteristics for data provenance in body area networks.},
 bibtype = {inProceedings},
 author = {Ali, Syed T and Sivaraman, Vijay and Ostry, Diethelm and Jha, Sanjay},
 booktitle = {Proceedings of the International Workshop on Trustworthy Embedded Devices (TrustED)}
}

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