Preserving user privacy in pervasive environments with a collaborative model

Farzana Rahman, Md Endadul Hoque, Sheikh I. Ahamed, Mohammad Arif Ul Alam

Research output: Contribution to conferencePaper

1 Scopus citations

Abstract

Privacy is the most often cited criticism of context awareness in pervasive environments. Context aware pervasive applications have the vulnerabilities of capturing extensive portions of users' activities. Whether such data capture is an actual threat or not, users' perceptions of such possibilities may discourage them from using many useful pervasive applications. So far, in context aware pervasive applications, location data has been the main focus to make users anonymous. However in reality, user anonymity depends on all the privacy sensitive data collected by a particular application. Preserving user privacy or in other words, protecting user anonymity with the help of an anonymizer has the susceptibility of a single point of failure. In this paper, we propose a Formal Collaborative Model (FCM) that preserves users' anonymity without an anonymizer. This model can also quantify the amount of privacy at stake at the time of asking for services from untrustworthy service providers. Since our model can quantify service requester's achieved privacy when a request is going to be placed, it allows the users to be aware of their overall privacy preference situation in a pervasive environment.

Original languageEnglish (US)
Pages84-93
Number of pages10
DOIs
StatePublished - Nov 21 2013
Externally publishedYes
Event7th International Conference on Software Security and Reliability, SERE-C 2013 - Gaithersburg, MD, United States
Duration: Jun 18 2013Jun 20 2013

Conference

Conference7th International Conference on Software Security and Reliability, SERE-C 2013
CountryUnited States
CityGaithersburg, MD
Period6/18/136/20/13

Keywords

  • Anonymity
  • Context-aware
  • Formal model
  • Privacy
  • Quantification

ASJC Scopus subject areas

  • Software
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Rahman, F., Hoque, M. E., Ahamed, S. I., & Alam, M. A. U. (2013). Preserving user privacy in pervasive environments with a collaborative model. 84-93. Paper presented at 7th International Conference on Software Security and Reliability, SERE-C 2013, Gaithersburg, MD, United States. https://doi.org/10.1109/SERE-C.2013.31