A Collaborative Privacy-Enhanced Alibi Phone

  • Hsien-Ting Cheng
  • Ching-Lun Lin
  • Hao-hua Chuinst
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3947)


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.


Context Information Ambient Noise Privacy Protection Centralize Architecture Background Scene 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
  2. 2.
    Hengartner, U., Steenkiste, P.: Access Control to Information in Pervasive Computing Environments. HotOS (2003)Google Scholar
  3. 3.
    TransAsis Telecommunicatios, Taiwan (2002), http://www.hank.net.tw/channel/TL/BGM/service.htm
  4. 4.
    Elisa Batista: Phone become alibi for liars (2004), http://www.wired.com/news/wireless/0,1382,63439,00.html
  5. 5.
    Speech Processing, Transmission and Quality Aspects (STQ); Distributed speech recognition; Advanced front-end feature extraction algorithm; Compression algorithms. ETSI ES 202 050 v.1.1.3 5.1 Noise Reduction (2003)Google Scholar
  6. 6.
    Lv, Q., Cao, P., Cohen, E., Li, K., Shenker, S.: Search and replication in unstructured peer-to-peer networks. In: Proc. of the 16th ACM Intl. Conf. on Supercomputing (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hsien-Ting Cheng
    • 1
  • Ching-Lun Lin
    • 2
  • Hao-hua Chuinst
    • 1
  1. 1.Department of Computer Science and Information Engineering, Graduate Institute of Networking and MultimediaNational Taiwan UniversityTaipeiTaiwan
  2. 2.Department of Computer ScienceColumbia UniversityNew YorkUSA

Personalised recommendations