DocumentCode :
3091420
Title :
Unified Metric for Measuring Anonymity and Privacy with Application to Online Social Network
Author :
Kamiyama, Komei ; Ngoc, Tran Hong ; Echizen, Isao ; Yoshiura, Hiroshi
Author_Institution :
Dept. of Human Commun., Univ. of Electro-Commun., Tokyo, Japan
fYear :
2010
fDate :
15-17 Oct. 2010
Firstpage :
506
Lastpage :
509
Abstract :
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.
Keywords :
computer network security; data privacy; entropy; probability; social networking (online); anonymity; entropy; online social network; privacy; probability; Blogs; Data privacy; Entropy; Joints; Measurement; Privacy; Social network services; anonymity; metric; online social network; privacy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2010 Sixth International Conference on
Conference_Location :
Darmstadt
Print_ISBN :
978-1-4244-8378-5
Electronic_ISBN :
978-0-7695-4222-5
Type :
conf
DOI :
10.1109/IIHMSP.2010.129
Filename :
5636042
Link To Document :
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