DocumentCode :
2777036
Title :
Privacy: Gone with the Typing! Identifying Web Users by Their Typing Patterns
Author :
Chairunnanda, Prima ; Pham, Nam ; Hengartner, Urs
Author_Institution :
David R. Cheriton Sch. of Comput. Sci., Univ. of Waterloo, Waterloo, ON, Canada
fYear :
2011
fDate :
9-11 Oct. 2011
Firstpage :
974
Lastpage :
980
Abstract :
The lack of privacy protection for Internet users has been identified as a major problem in modern web browsers. While authenticating web users by their typing patterns has been well studied and successfully applied in practice, the related privacy risk of identification by typing patterns has received little attention in both the research and general community. In this paper we present a simple but effective statistical detection model for constructing users´ identity from their typing patterns. Extensive experiments are conducted to justify the accuracy of our model. Using this model, online adversaries could uncover the identity of Web users even if they are using anonym zing services. Our goal is to raise awareness of this privacy risk to general Internet users and encourage countermeasures in future implementations of anonymous browsing techniques.
Keywords :
Internet; data privacy; online front-ends; statistical analysis; Internet users; Web browsers; Web user identification; online adversaries; privacy risk; statistical detection model; typing patterns; Accuracy; Authentication; Browsers; Hidden Markov models; Internet; Privacy; Timing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4577-1931-8
Type :
conf
DOI :
10.1109/PASSAT/SocialCom.2011.197
Filename :
6113248
Link To Document :
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