• DocumentCode
    3722850
  • Title

    Analyzing the Effectiveness of Privacy Related Add-Ons Employed to Thwart Web Based Tracking

  • Author

    Matthew Ruffell;Jin B. Hong;Dong Seong Kim

  • Author_Institution
    Dept. of Comput. Sci. &
  • fYear
    2015
  • Firstpage
    264
  • Lastpage
    272
  • Abstract
    With the rise in popularity of using websites to distribute content to users, content creators needed to gain revenue from page views. To achieve this, they use third-party networks to distribute advertisements and perform analytics on users to customize their advertisements. These networks build up a profile of their users (e.g., navigation patterns, visit frequency, personal interest), which poses a significant privacy risk as this information can be sold to others or used in targeted advertising. In order for users to protect themselves, they need to install add-ons for their web browser which removes third-party content. This paper surveys some of the existing add-ons to block third-party content, and determine which add-ons are required to provide adequate protection. Further analytics are conducted to evaluate the effectiveness of those add-ons through the experiments.
  • Keywords
    "Browsers","Privacy","Advertising","Target tracking","Navigation","Uniform resource locators","HTML"
  • Publisher
    ieee
  • Conference_Titel
    Dependable Computing (PRDC), 2015 IEEE 21st Pacific Rim International Symposium on
  • Type

    conf

  • DOI
    10.1109/PRDC.2015.29
  • Filename
    7371870