TY - GEN
T1 - A study of the internet privacy in private browsing mode
AU - Liou, Jing Chiou
AU - Logapriyan, Mohanapriya
AU - Lai, Te Wei
AU - Pareja, Daniel
AU - Sewell, Sean
N1 - Publisher Copyright:
© 2016 ACM. ISBN 978-1-4503-4129-5/16/08… $15.00
PY - 2016/8/15
Y1 - 2016/8/15
N2 - Today the Internet has revolutionized it into a cyberspace, mainly due to its attributes of convenience, interoperability, fast search and confidence. It provides an affordable and secure way to spontaneously link people and computers across geographical boundaries. The massive economy of online services and digital information has dramatically changed our life today. Digital private information is sensitive personal information digitally stored in cyberspace, or being transmitted through the Internet. This may include gender, age, race, location, and records on health, finance, and even online activities. Although these types of data are usually privately stored, they can be intentionally or unintentionally revealed while surfing the Internet. To address the digital privacy concern, current Web Browsers developed the Private Browsing Mode (PBM) which promises to serve the user to surf the internet without leaving traces on the local machine. In this paper, we study the Internet privacy using Private Browsing Mode (PBM) with four test scenarios on several popular browsers. The test results indicate that, with current design of web sites and web browsers, even under PBM, privacy information could still be retrieved. We hope the finding can provide us an opportunity to improve future design of PBM in browsers.
AB - Today the Internet has revolutionized it into a cyberspace, mainly due to its attributes of convenience, interoperability, fast search and confidence. It provides an affordable and secure way to spontaneously link people and computers across geographical boundaries. The massive economy of online services and digital information has dramatically changed our life today. Digital private information is sensitive personal information digitally stored in cyberspace, or being transmitted through the Internet. This may include gender, age, race, location, and records on health, finance, and even online activities. Although these types of data are usually privately stored, they can be intentionally or unintentionally revealed while surfing the Internet. To address the digital privacy concern, current Web Browsers developed the Private Browsing Mode (PBM) which promises to serve the user to surf the internet without leaving traces on the local machine. In this paper, we study the Internet privacy using Private Browsing Mode (PBM) with four test scenarios on several popular browsers. The test results indicate that, with current design of web sites and web browsers, even under PBM, privacy information could still be retrieved. We hope the finding can provide us an opportunity to improve future design of PBM in browsers.
KW - Browser
KW - Internet
KW - Privacy
KW - Private browsing mode
UR - http://www.scopus.com/inward/record.url?scp=85054170249&partnerID=8YFLogxK
U2 - 10.1145/2955129.2955153
DO - 10.1145/2955129.2955153
M3 - Conference contribution
AN - SCOPUS:85054170249
SN - 9781450341295
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 3rd Multidisciplinary International Social Networks Conference, SocialInformatics 2016, Data Science 2016, MISNC, SI, DS 2016
PB - Association for Computing Machinery
T2 - 3rd Multidisciplinary International Social Networks Conference, MISNC 2016, 5th ASE International Conference on Social Informatics, SocialInformatics 2016 and 7th ASE International Conference on Data Science, DS 2016
Y2 - 15 August 2016 through 17 August 2016
ER -