A collaborative privacy-enhanced alibi phone

Authors:
Hsien-Ting Cheng;Ching-Lun Lin;Hao-hua Chuinst
Affiliations:
Department of Computer Science and Information Engineering, Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei, Taiwan;Department of Computer Science, Columbia University, New York, NY;Department of Computer Science and Information Engineering, Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei, Taiwan
Venue:
GPC'06 Proceedings of the First international conference on Advances in Grid and Pervasive Computing
Year:
2006

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Abstract

This paper presents a collaborative privacy protection approach that not only filters context information and reduces its granularity, but also intelligently replaces the filtered-out context with an artificial context considered appropriate by its user. The benefit of this approach is that individuals accessing the filtered context cannot detect the presence of filtering, namely, filtering becomes imperceptible. This new approach is used as a basis for designing, implementing and evaluating a collaborative privacy-enhanced alibi phone, allowing user to imperceptibly conceal surrounding ambient sound from callers, while leaving callers unaware of this filtering.