Precision: Privacy Enhanced Context-Aware Information Fusion in Ubiquitous Healthcare

  • Authors:
  • Gautham Pallapa;Nirmalya Roy;Sajal Das

  • Affiliations:
  • University of Texas, Arlington;University of Texas, Arlington;University of Texas, Arlington

  • Venue:
  • SEPCASE '07 Proceedings of the 1st International Workshop on Software Engineering for Pervasive Computing Applications, Systems, and Environments
  • Year:
  • 2007

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Abstract

Ubiquitous computing is an emerging paradigm for health care environments in which expedited decision making is of paramount importance. The information obtained from heterogeneous devices in such dynamic environments constitute a high degree of complexity, and emphasize the need for fusion. The realization of context-aware ubiquitous computing exacerbates existing privacy concerns. In this paper, we present Precision, a system for privacy enhanced context-aware information fusion in ubiquitous computing environments. In our scheme, privacy is defined as a set of parameters encapsulated in composite data entities called privons. Precision is an ongoing work, and in this paper, we discuss the overview of Precision and present preliminary results.