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research-article

Absence Privacy Loss

Published: 01 November 2015 Publication History

Abstract

In the emerging Internet of Things era, an adversary can use ubiquitous computing devices and sensors to determine a person's absence from one place while predicting his or her presence at another.

References

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C. Patsakis et al., “Interoperable Privacy-Aware E-Participation within Smart Cities,” Computer, vol. 48, no. 1, 2015, pp. 52–58.
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J. Li, “Ensuring Privacy in a Personal Health Record System,” Computer, vol. 48, no. 2, 2015, pp. 24–31.
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D. Freni et al., “Preserving Location and Absence Privacy in Geo-Social Networks,” in Proc.19th ACM Int'l Conf. Information and Knowledge Management (CIKM 10),2010, pp. 309–318.
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M. Saini et al., “W3-Privacy: Understanding What, When, and Where Inference Channels in Multi-Camera Surveillance Video,” Multimedia Tools and Applications, vol. 68, no. 1, 2014, pp. 135–158.
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I. Martinez-Ponte et al., “Robust Human Face Hiding Ensuring Privacy,” Proc. Int'l Workshop Image Analysis for Multimedia Interactive Services (WI-AMIS 05), 2005 [Online]. Available: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.72.4758.
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      IEEE Computer Society Press

      Washington, DC, United States

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      Published: 01 November 2015

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