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

Matthew Ruffell, Jin B. Hong, Dong Seong Kim

Research output: Chapter in Book/Conference paperConference paper

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE 21st Pacific Rim International Symposium on Dependable Computing, PRDC 2015
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages264-272
Number of pages9
Volume2015
ISBN (Electronic)9781467393768
DOIs
Publication statusPublished - 4 Jan 2016
Externally publishedYes
Event21st IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2015 - Zhangjiajie, China
Duration: 18 Nov 201520 Nov 2015

Conference

Conference21st IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2015
CountryChina
CityZhangjiajie
Period18/11/1520/11/15

Fingerprint

Web browsers
Websites
Marketing
Navigation
Experiments

Cite this

Ruffell, M., Hong, J. B., & Kim, D. S. (2016). Analyzing the Effectiveness of Privacy Related Add-Ons Employed to Thwart Web Based Tracking. In Proceedings - 2015 IEEE 21st Pacific Rim International Symposium on Dependable Computing, PRDC 2015 (Vol. 2015, pp. 264-272). [7371417] United States: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/PRDC.2015.29
Ruffell, Matthew ; Hong, Jin B. ; Kim, Dong Seong. / Analyzing the Effectiveness of Privacy Related Add-Ons Employed to Thwart Web Based Tracking. Proceedings - 2015 IEEE 21st Pacific Rim International Symposium on Dependable Computing, PRDC 2015. Vol. 2015 United States : IEEE, Institute of Electrical and Electronics Engineers, 2016. pp. 264-272
@inproceedings{bd74bfd751cd499582a6240d7e0452b2,
title = "Analyzing the Effectiveness of Privacy Related Add-Ons Employed to Thwart Web Based Tracking",
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 = "Browser Addons, Firefox, Privacy, Third-Party Tracker, Web Analytics",
author = "Matthew Ruffell and Hong, {Jin B.} and Kim, {Dong Seong}",
year = "2016",
month = "1",
day = "4",
doi = "10.1109/PRDC.2015.29",
language = "English",
volume = "2015",
pages = "264--272",
booktitle = "Proceedings - 2015 IEEE 21st Pacific Rim International Symposium on Dependable Computing, PRDC 2015",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
address = "United States",

}

Ruffell, M, Hong, JB & Kim, DS 2016, Analyzing the Effectiveness of Privacy Related Add-Ons Employed to Thwart Web Based Tracking. in Proceedings - 2015 IEEE 21st Pacific Rim International Symposium on Dependable Computing, PRDC 2015. vol. 2015, 7371417, IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 264-272, 21st IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2015, Zhangjiajie, China, 18/11/15. https://doi.org/10.1109/PRDC.2015.29

Analyzing the Effectiveness of Privacy Related Add-Ons Employed to Thwart Web Based Tracking. / Ruffell, Matthew; Hong, Jin B.; Kim, Dong Seong.

Proceedings - 2015 IEEE 21st Pacific Rim International Symposium on Dependable Computing, PRDC 2015. Vol. 2015 United States : IEEE, Institute of Electrical and Electronics Engineers, 2016. p. 264-272 7371417.

Research output: Chapter in Book/Conference paperConference paper

TY - GEN

T1 - Analyzing the Effectiveness of Privacy Related Add-Ons Employed to Thwart Web Based Tracking

AU - Ruffell, Matthew

AU - Hong, Jin B.

AU - Kim, Dong Seong

PY - 2016/1/4

Y1 - 2016/1/4

N2 - 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.

AB - 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.

KW - Browser Addons

KW - Firefox

KW - Privacy

KW - Third-Party Tracker

KW - Web Analytics

UR - http://www.scopus.com/inward/record.url?scp=84992255005&partnerID=8YFLogxK

U2 - 10.1109/PRDC.2015.29

DO - 10.1109/PRDC.2015.29

M3 - Conference paper

VL - 2015

SP - 264

EP - 272

BT - Proceedings - 2015 IEEE 21st Pacific Rim International Symposium on Dependable Computing, PRDC 2015

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - United States

ER -

Ruffell M, Hong JB, Kim DS. Analyzing the Effectiveness of Privacy Related Add-Ons Employed to Thwart Web Based Tracking. In Proceedings - 2015 IEEE 21st Pacific Rim International Symposium on Dependable Computing, PRDC 2015. Vol. 2015. United States: IEEE, Institute of Electrical and Electronics Engineers. 2016. p. 264-272. 7371417 https://doi.org/10.1109/PRDC.2015.29