DocumentCode
3656768
Title
A classification of web browser fingerprinting techniques
Author
Randika Upathilake;Yingkun Li;Ashraf Matrawy
Author_Institution
Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
1
Lastpage
5
Abstract
As the World Wide Web has increasingly become a necessity in daily life, the acute need to safeguard user privacy and security has become manifestly apparent. After users realized that browser cookies could allow websites to track their actions without permission or notification, many have chosen to reject cookies in order to protect their privacy. However, more recently, methods of fingerprinting a web browser have become an increasingly common practice. In this paper, we classify web browser fingerprinting into four main categories: (1) Browser Specific, (2) Canvas, (3) JavaScript Engine, and (4) Cross-browser. We then summarize the privacy and security implications, discuss commercial fingerprinting techniques, and finally present some detection and prevention methods.
Keywords
"Browsers","Fingerprint recognition","Privacy","Security","Accelerometers","Engines","Computers"
Publisher
ieee
Conference_Titel
New Technologies, Mobility and Security (NTMS), 2015 7th International Conference on
Type
conf
DOI
10.1109/NTMS.2015.7266460
Filename
7266460
Link To Document