• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Quantizing Personal Privacy in Ubiquitous Computing

Vol. 5, No. 9, September 28, 2011
10.3837/tiis.2011.09.009, Download Paper (Free):


Privacy is one of the most important and difficult research issues in ubiquitous computing. It is qualitative rather than quantitative. Privacy preserving mainly relies on policy based rules of the system, and users cannot adjust their privacy disclosure rules dynamically based on their wishes. To make users understand and control their privacy measurement, we present a scheme to quantize the personal privacy. We aim to configure the person_s privacy based on the numerical privacy level which can be dynamically adjusted. Instead of using the traditional simple rule engine, we implement this scheme in a complex way. In addition, we design the scenario to explain the implementation of our scheme. To the best of our knowledge, we are the first to assess personal privacy numerically to achieve precision privacy computing. The privacy measurement and disclosure model will be refined in the future work.


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Cite this article

[IEEE Style]
T. Ma, W. Tian, D. Guan and S. Lee, "Quantizing Personal Privacy in Ubiquitous Computing," KSII Transactions on Internet and Information Systems, vol. 5, no. 9, pp. 1653-1667, 2011. DOI: 10.3837/tiis.2011.09.009.

[ACM Style]
Tinghuai Ma, Wei Tian, Donghai Guan, and Sungyoung Lee. 2011. Quantizing Personal Privacy in Ubiquitous Computing. KSII Transactions on Internet and Information Systems, 5, 9, (2011), 1653-1667. DOI: 10.3837/tiis.2011.09.009.

[BibTeX Style]
@article{tiis:20004, title="Quantizing Personal Privacy in Ubiquitous Computing", author="Tinghuai Ma and Wei Tian and Donghai Guan and Sungyoung Lee and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2011.09.009}, volume={5}, number={9}, year="2011", month={September}, pages={1653-1667}}