Title
Content-Based De-anonymisation of Tweets
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.
Year
DOI
Venue
2011
10.1109/IIHMSP.2011.57
Intelligent Information Hiding and Multimedia Signal Processing
Keywords
Field
DocType
serious violation,social media site,various type,information individuals place,personal information,content-based de-anonymisation,data privacy,privacy,vectors,media,anonymity,correlation,security
Internet privacy,World Wide Web,Social media,Privacy by Design,Computer science,Personally identifiable information,Anonymity,Information privacy,Privacy software,Privacy laws of the United States
Conference
ISBN
Citations 
PageRank 
978-1-4577-1397-2
1
0.36
References 
Authors
5
4
Name
Order
Citations
PageRank
Tomotaka Okuno120.73
Masatsugu Ichino2247.61
Tetsuji Kuboyama314029.36
Hiroshi Yoshiura432.84