The real first class? Inferring confidential corporate mergers and government relations from air traffic communication
This paper exploits publicly available aircraft meta data in conjunction with unfiltered air traffic communication gathered from a global collaborative sensor network to study the privacy impact of large-scale aircraft tracking on governments and public corporations. First, we use movement data of 5...
| Main Authors: | , , , |
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| Format: | Conference item |
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IEEE
2018
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