PriSN: A privacy protection framework for healthcare social networking sites

Farzana Rahman, Ivor D. Addo, Sheikh I. Ahamed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

A new class of patient driven healthcare web applications are emerging to supplement and extend traditional healthcare delivery models and empower patient self-care. Patient-driven healthcare can be characterized as having an increased level of information flow, transparency, customization, collaboration, patient choice and responsibility-taking, as well as quantitative, predictive and preventive aspects. Social networking applications or sites are usually dedicated to fostering interaction between users. Healthcare Social Networking (HSN) sites constitute virtual communities where users connect with each other around common health issues and share relevant health data. HSNs have become very popular and broadly adopted by various medical professionals and patients. The growing use of HSNs has prompted public concerns about the underlying risks that such online data-sharing platforms pose to the privacy and security of Personal Health Information (PHI). This paper presents a set of privacy risks introduced by social networking applications in healthcare scenarios. The main contribution of this paper is the introduction of a privacy preserving framework, PriSN, which seeks to preserve the privacy of sensitive healthcare data of end-user in HSNs. PriSN safeguards a user's privacy by generalizing the contextual PHI collected in the HSN applications and shared with a given end-user's peers. To support multiple levels of granularity in the contextual PHI, the proposed obfuscation procedure establishes an ontological description stating the granularity of object instances.

Original languageEnglish (US)
Title of host publicationProceedings of the 2014 Research in Adaptive and Convergent Systems, RACS 2014
PublisherAssociation for Computing Machinery, Inc
Pages66-71
Number of pages6
ISBN (Electronic)9781450330602
DOIs
StatePublished - Oct 5 2014
Externally publishedYes
Event2014 Conference on Research in Adaptive and Convergent Systems, RACS 2014 - Towson, United States
Duration: Oct 5 2014Oct 8 2014

Publication series

NameProceedings of the 2014 Research in Adaptive and Convergent Systems, RACS 2014

Conference

Conference2014 Conference on Research in Adaptive and Convergent Systems, RACS 2014
CountryUnited States
CityTowson
Period10/5/1410/8/14

Keywords

  • Architecture
  • Granularity
  • Healthcare social networks
  • HSN privacy
  • Obfuscation
  • Privacy

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Fingerprint Dive into the research topics of 'PriSN: A privacy protection framework for healthcare social networking sites'. Together they form a unique fingerprint.

  • Cite this

    Rahman, F., Addo, I. D., & Ahamed, S. I. (2014). PriSN: A privacy protection framework for healthcare social networking sites. In Proceedings of the 2014 Research in Adaptive and Convergent Systems, RACS 2014 (pp. 66-71). (Proceedings of the 2014 Research in Adaptive and Convergent Systems, RACS 2014). Association for Computing Machinery, Inc. https://doi.org/10.1145/2663761.2664199