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A Collaborative Privacy-Enhanced Alibi Phone
Author(s) -
Hsien-Ting Cheng,
Ching-Lun Lin,
Hao-hua Chuinst
Publication year - 2006
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-33809-8
DOI - 10.1007/11745693_40
Subject(s) - computer science , alibi , context (archaeology) , phone , collaborative filtering , human–computer interaction , computer security , internet privacy , world wide web , recommender system , paleontology , linguistics , philosophy , political science , law , biology
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.

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