Conference item
The real first class? Inferring confidential corporate mergers and government relations from air traffic communication
- Abstract:
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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 542 verified aircraft used by 113 different governments to identify events and relationships in the real world. We develop a spatio-temporal clustering method which returns 47 public and 18 non-publ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
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(Accepted manuscript, pdf, 3.0MB)
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- Publisher copy:
- 10.1109/EuroSP.2018.00016
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Authors
Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Journal:
- 3rd IEEE European Symposium on Security and Privacy Journal website
- Pages:
- 107-121
- Host title:
- 2018 IEEE European Symposium on Security and Privacy (EuroS&P)
- Publication date:
- 2018-07-09
- Acceptance date:
- 2017-11-21
- DOI:
- Source identifiers:
-
821729
- ISBN:
- 9781538642283
Item Description
- Pubs id:
-
pubs:821729
- UUID:
-
uuid:3df6e2a7-f82a-4119-9326-6c658c559b8e
- Local pid:
- pubs:821729
- Deposit date:
- 2018-01-28
Terms of use
- Copyright holder:
- Strohmeier et al
- Copyright date:
- 2018
- Notes:
- Copyright © 2018, Martin Strohmeier. Under license to IEEE. This is the accepted manuscript version of the paper. The final version is available online from IEEE at: https://doi.org/10.1109/EuroSP.2018.00016
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