Privacy-preserving proof-of-location using homomorphic encryption

Privacy-preserving proof-of-location using homomorphic encryption

Location-based software services require knowledge about a user's geographic data. Sharing these data risks compromising the user's privacy, exposes the user to targeted marketing, and enables potentially undesired behavioural profiling. Today, there exist several privacy-preserving proof-...

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Bibliographic Details
Main Author: Lee, Carmen
Format: Others
Language:English
Published: Uppsala universitet, Avdelningen för systemteknik 2020
Subjects:
Computer Sciences
Datavetenskap (datalogi)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414125
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spelling ndltd-UPSALLA1-oai-DiVA.org-uu-4141252020-06-24T03:32:38ZPrivacy-preserving proof-of-location using homomorphic encryptionengLee, CarmenUppsala universitet, Avdelningen för systemteknik2020Computer SciencesDatavetenskap (datalogi)Location-based software services require knowledge about a user's geographic data. Sharing these data risks compromising the user's privacy, exposes the user to targeted marketing, and enables potentially undesired behavioural profiling. Today, there exist several privacy-preserving proof-of-location solutions. However, these solutions often rely on a trusted third party, which reduces a user's control of their own data, or feature novel encryption schemes that may contain yet undiscovered security vulnerabilities. This thesis adopts a generic homomorphic encryption scheme and presents a way of generating location proofs without a user having to reveal their location. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414125UPTEC F, 1401-5757 ; 20013application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Computer Sciences
Datavetenskap (datalogi)
spellingShingle Computer Sciences
Datavetenskap (datalogi)
Lee, Carmen
Privacy-preserving proof-of-location using homomorphic encryption
description Location-based software services require knowledge about a user's geographic data. Sharing these data risks compromising the user's privacy, exposes the user to targeted marketing, and enables potentially undesired behavioural profiling. Today, there exist several privacy-preserving proof-of-location solutions. However, these solutions often rely on a trusted third party, which reduces a user's control of their own data, or feature novel encryption schemes that may contain yet undiscovered security vulnerabilities. This thesis adopts a generic homomorphic encryption scheme and presents a way of generating location proofs without a user having to reveal their location.
author Lee, Carmen
author_facet Lee, Carmen
author_sort Lee, Carmen
title Privacy-preserving proof-of-location using homomorphic encryption
title_short Privacy-preserving proof-of-location using homomorphic encryption
title_full Privacy-preserving proof-of-location using homomorphic encryption
title_fullStr Privacy-preserving proof-of-location using homomorphic encryption
title_full_unstemmed Privacy-preserving proof-of-location using homomorphic encryption
title_sort privacy-preserving proof-of-location using homomorphic encryption
publisher Uppsala universitet, Avdelningen för systemteknik
publishDate 2020
url http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414125
work_keys_str_mv AT leecarmen privacypreservingproofoflocationusinghomomorphicencryption
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