A study of the internet privacy in private browsing mode

Jing Chiou Liou, Mohanapriya Logapriyan, Te Wei Lai, Daniel Pareja, Sean Sewell

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 3rd Multidisciplinary International Social Networks Conference, SocialInformatics 2016, Data Science 2016, MISNC, SI, DS 2016
PublisherAssociation for Computing Machinery
ISBN (Print)9781450341295
DOIs
StatePublished - 15 Aug 2016
Event3rd 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 - Union, United States
Duration: 15 Aug 201617 Aug 2016

Publication series

NameACM International Conference Proceeding Series

Conference

Conference3rd 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
Country/TerritoryUnited States
CityUnion
Period15/08/1617/08/16

Keywords

  • Browser
  • Internet
  • Privacy
  • Private browsing mode

Fingerprint

Dive into the research topics of 'A study of the internet privacy in private browsing mode'. Together they form a unique fingerprint.

Cite this