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Sensors 2016, 16(5), 674; doi:10.3390/s16050674

Bootstrapping Security Policies for Wearable Apps Using Attributed Structural Graphs

Department of Computer Science, Universidad Carlos III de Madrid, 28911 Leganés, Madrid, Spain
Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 25 November 2015 / Revised: 27 April 2016 / Accepted: 3 May 2016 / Published: 11 May 2016
(This article belongs to the Special Issue Security and Privacy in Sensor Networks)
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We address the problem of bootstrapping security and privacy policies for newly-deployed apps in wireless body area networks (WBAN) composed of smartphones, sensors and other wearable devices. We introduce a framework to model such a WBAN as an undirected graph whose vertices correspond to devices, apps and app resources, while edges model structural relationships among them. This graph is then augmented with attributes capturing the features of each entity together with user-defined tags. We then adapt available graph-based similarity metrics to find the closest app to a new one to be deployed, with the aim of reusing, and possibly adapting, its security policy. We illustrate our approach through a detailed smartphone ecosystem case study. Our results suggest that the scheme can provide users with a reasonably good policy that is consistent with the user’s security preferences implicitly captured by policies already in place. View Full-Text
Keywords: smartphone security and privacy; security policy; wireless body area networks; policy bootstrapping smartphone security and privacy; security policy; wireless body area networks; policy bootstrapping

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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González-Tablas, A.I.; Tapiador, J.E. Bootstrapping Security Policies for Wearable Apps Using Attributed Structural Graphs. Sensors 2016, 16, 674.

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