DocumentCode :
2324473
Title :
Content-Based De-anonymisation of Tweets
Author :
Okuno, Tomotaka ; Ichino, Masatsugu ; Kuboyama, Tetsuji ; Yoshiura, Hiroshi
Author_Institution :
Dept. of Inf., Univ. of Electro-Commun., Tokyo, Japan
fYear :
2011
fDate :
14-16 Oct. 2011
Firstpage :
53
Lastpage :
56
Abstract :
Various types of personal information are accessible through the Web, and they can be accessed in number of ways. Linking of the personal information obtained with other personal information can lead to a serious violation of privacy. To address this problem, we developed a method that matches the information individuals place in a profile to the information they post on social media sites. It uses an algorithm we developed for quantifying the correlation between a word and a document even if the word itself does not appear in document.
Keywords :
data privacy; social networking (online); content-based tweet de-anonymisation; personal information; privacy violation; social media site; Correlation; Educational institutions; Media; Privacy; Security; Social network services; Vectors; anonymity; online social network; privacy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2011 Seventh International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-1397-2
Type :
conf
DOI :
10.1109/IIHMSP.2011.57
Filename :
6079532
Link To Document :
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