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Abstracting syntactic privacy notions via privacy games

Abstract:

It is well understood that the huge volumes of data captured in recent years have the potential to underpin significant research developments in many fields. But, to realise these benefits, all relevant parties must be comfortable with how this data is shared. At the heart of this is the notion of privacy — which is recognised as being somewhat difficult to define. Previous authors have shown how privacy notions such as anonymity, unlinkability and pseudonymity might be combined into a single...

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Publication status:
Published
Peer review status:
Peer reviewed

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Files:
  • (Accepted manuscript, pdf, 290.5KB)
Publisher copy:
10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00236
Publication website:
https://ieeexplore.ieee.org/xpl/conhome/9036713/proceeding

Authors


More by this author
Institution:
University of Oxford
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
Kellogg College
Role:
Author
ORCID:
0000-0003-3597-2232
Publisher:
IEEE
Host title:
2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)
Pages:
1267-1274
Publication date:
2020-04-09
Acceptance date:
2019-04-28
Event title:
Advanced and Trusted Computing 2019
Event location:
Leicester, United Kingdom
Event website:
http://www.smart-world.org/2019/atc/
Event start date:
2019-08-19
Event end date:
2019-08-23
DOI:
ISBN:
978-1-7281-4034-6
Language:
English
Keywords:
Pubs id:
pubs:998048
UUID:
uuid:ac4109e2-ae5f-48c5-bccc-781a9ddf0b7a
Local pid:
pubs:998048
Source identifiers:
998048
Deposit date:
2019-05-14

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