Abstract

utomatic Dependent Surveillance Broadcast (ADS-B) is a satellite-based system that makes an aircraft equipped with it periodically generates ADS-B broadcasts including the aircraft’s identifier, position, velocity, etc. Since the broadcasts can enhance navigation capability remarkably, it has replaced radar and becomes the backbone of the air traffic management (ATM) of next generation. However, the leak of identity and location privacy allows adversaries to track flights easily. Especially in general aviation, people’s travel destination may be related to personal privacy, commercial secrets and other important information that need to be protected. In this paper, the author studies a well-known location privacy protection scheme named random silent period which enhances the uncertainty by mix the target plane with other planes in the anonymity set and entropy is used to evaluate the uncertainty. Furthermore, we proposes a new correlation tracking method to improve the uncertainty. The evaluation of location privacy demonstrates that the method is more practical and accurate than the simple tracking method. Keywords— ADS-B; location privacy; random silent period; entropy; tracking


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The different versions of the original document can be found in:

https://academic.microsoft.com/#/detail/1785972329 under the license cc-by-nc
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Document information

Published on 01/01/2015

Volume 2015, 2015
DOI: 10.2991/lemcs-15.2015.16
Licence: Other

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