POSTER: Enabling end-users to protect their privacy

Mahmoud Barhamgi, Mu Yang, Chia Mu Yu, Yijun Yu, Arosha K. Bandara, Djamal Benslimane, Bashar Nuseibeh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this paper we present our ongoing work to build an ap- proach to empower users of IoT-based cyber physical sys- tems to protect their privacy by themselves. Our approach allows users to identify the privacy risks involved in sharing private data with a data consumer, assess the value of their private data based on identified risks and take a pragmatic data sharing decision balancing the risks with the benefits generated by the sharing. Our approach features a knowl- edgebase, called the Privacy Oracle, that exploits the power of the Semantic Web to determine how raw metadata can be combined by data consumers to infer privacy-sensitive information as well as the privacy risks associated with the disclosure of inferred information.

Original languageEnglish
Title of host publicationASIA CCS 2017 - Proceedings of the 2017 ACM Asia Conference on Computer and Communications Security
PublisherAssociation for Computing Machinery, Inc
Pages905-907
Number of pages3
ISBN (Electronic)9781450349444
DOIs
StatePublished - 2 Apr 2017
Event2017 ACM Asia Conference on Computer and Communications Security, ASIA CCS 2017 - Abu Dhabi, United Arab Emirates
Duration: 2 Apr 20176 Apr 2017

Publication series

NameASIA CCS 2017 - Proceedings of the 2017 ACM Asia Conference on Computer and Communications Security

Conference

Conference2017 ACM Asia Conference on Computer and Communications Security, ASIA CCS 2017
CountryUnited Arab Emirates
CityAbu Dhabi
Period2/04/176/04/17

Keywords

  • IoT based smart environments
  • Privacy
  • Privacy ontologies

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