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Unified Metric for Measuring Anonymity and Privacy with Application to Online Social Network

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4 Author(s)
Kamiyama, K. ; Dept. of Human Commun., Univ. of Electro-Commun., Tokyo, Japan ; Ngoc, T.H. ; Echizen, I. ; Yoshiura, H.

Online social networks are used by more and more people. While they enable rich communication, posting information on such networks can degrade one's privacy and anonymity. A metric based on probability and entropy has been developed for measuring the degree of information revelation caused by posting to social networks. It can be used to measure the loss of privacy as well as the loss of anonymity.

Published in:

Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2010 Sixth International Conference on

Date of Conference:

15-17 Oct. 2010