Tracking Protection in Firefox for Privacy and Performance
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												The Web Never Forgets: Persistent Tracking Mechanisms in the Wild
The Web Never Forgets: Persistent Tracking Mechanisms in the Wild Gunes Acar1, Christian Eubank2, Steven Englehardt2, Marc Juarez1 Arvind Narayanan2, Claudia Diaz1 1KU Leuven, ESAT/COSIC and iMinds, Leuven, Belgium {name.surname}@esat.kuleuven.be 2Princeton University {cge,ste,arvindn}@cs.princeton.edu ABSTRACT 1. INTRODUCTION We present the first large-scale studies of three advanced web tracking mechanisms — canvas fingerprinting, evercookies A 1999 New York Times article called cookies compre and use of “cookie syncing” in conjunction with evercookies. hensive privacy invaders and described them as “surveillance Canvas fingerprinting, a recently developed form of browser files that many marketers implant in the personal computers fingerprinting, has not previously been reported in the wild; of people.” Ten years later, the stealth and sophistication of our results show that over 5% of the top 100,000 websites tracking techniques had advanced to the point that Edward employ it. We then present the first automated study of Felten wrote “If You’re Going to Track Me, Please Use Cook evercookies and respawning and the discovery of a new ev ies” [18]. Indeed, online tracking has often been described ercookie vector, IndexedDB. Turning to cookie syncing, we as an “arms race” [47], and in this work we study the latest present novel techniques for detection and analysing ID flows advances in that race. and we quantify the amplification of privacy-intrusive track The tracking mechanisms we study are advanced in that ing practices due to cookie syncing. they are hard to control, hard to detect and resilient Our evaluation of the defensive techniques used by to blocking or removing. - 
												
												A Usability Evaluation of Privacy Add-Ons for Web Browsers
A Usability Evaluation of Privacy Add-ons for Web Browsers Matthew Corner1, Huseyin Dogan1, Alexios Mylonas1 and Francis Djabri2 1 Bournemouth University, Bournemouth, United Kingdom {i7241812,hdogan,amylonas}@bournemouth.ac.uk 2 Mozilla Corporation, San Francisco, United States of America [email protected] Abstract. The web has improved our life and has provided us with more oppor- tunities to access information and do business. Nonetheless, due to the preva- lence of trackers on websites, web users might be subject to profiling while ac- cessing the web, which impairs their online privacy. Privacy browser add-ons, such as DuckDuckGo Privacy Essentials, Ghostery and Privacy Badger, extend the privacy protection that the browsers offer by default, by identifying and blocking trackers. However, the work that focuses on the usability of the priva- cy add-ons, as well as the users’ awareness, feelings, and thoughts towards them, is rather limited. In this work, we conducted usability evaluations by uti- lising System Usability Scale and Think-Aloud Protocol on three popular priva- cy add-ons, i.e., DuckDuckGo Privacy Essentials, Ghostery and Privacy Badg- er. Our work also provides insights into the users’ awareness of online privacy and attitudes towards the abovementioned privacy add-ons; in particular trust, concern, and control. Our results suggest that the participants feel safer and trusting of their respective add-on. It also uncovers areas for add-on improve- ment, such as a more visible toolbar logo that offers visual feedback, easy ac- cess to thorough help resources, and detailed information on the trackers that have been found. Keywords: Usability, Privacy, Browser Add-ons. - 
												
												Do Not Track a Nokia Browser Look
Do Not Track Nokia Browser Position - Vikram Malaiya Copyright: Nokia Corporation, 2011 Our understanding of Do Not Track (DNT) • DNT is a technology to enables users to opt out of third-party web tracking • No agreed upon definition of DNT. There are currently 3 major technology proposals for responding to third-party privacy concern. 1. Stanford University and Mozilla’s DNT HTTP Header technique. 2. Blacklist based technique such as Microsoft’s ‘Tracking Protection’ which is part of IE9 3. Network Advertising Initiative’s model of a per company opt-out cookie. Opt-out cookie approach is being promoted by Google. DNT as HTTP Header The Browser adds ‘DNT’/ ‘X-Do-Not-Track’ to its http header. The header is sent out to the server with every web request. This header acts as a signal to the server suggesting that the user wishes to opt out of tracking. Adoption: Firefox 4, IE9 DNT as HTTP Header • Pros: – Scope: Server could apply restrictions to all third party entities and tracking mechanisms – Persistent: No reconfiguration needed once set – Simple: Easy to implement on the browser side • Cons: – Only work as long as the server honors users preferences – No way to enforce national regulations/legislations to servers located beyond country boundaries Block(Black) List / Tracking Protection This is a consumer opt-in mechanism which blocks web connections from known tracking domains that are compiled on a list. First party Third party Adoption: ‘Tracking Protection’ in Internet Explorer 9 cy.analytix.com The downloadable Tracking allow Protection Lists enable IE9 xy.ads.com consumers to control what deny third-party site content can deny track them when they’re ads.tracker.com Tracking Protection online. - 
												
												The Internet and Web Tracking
Grand Valley State University ScholarWorks@GVSU Technical Library School of Computing and Information Systems 2020 The Internet and Web Tracking Tim Zabawa Grand Valley State University Follow this and additional works at: https://scholarworks.gvsu.edu/cistechlib ScholarWorks Citation Zabawa, Tim, "The Internet and Web Tracking" (2020). Technical Library. 355. https://scholarworks.gvsu.edu/cistechlib/355 This Project is brought to you for free and open access by the School of Computing and Information Systems at ScholarWorks@GVSU. It has been accepted for inclusion in Technical Library by an authorized administrator of ScholarWorks@GVSU. For more information, please contact [email protected]. Tim Zabawa 12/17/20 Capstone Project Cover Page: 1. Introduction 2 2. How we are tracked online 2 2.1 Cookies 3 2.2 Browser Fingerprinting 4 2.3 Web Beacons 6 3. Defenses Against Web Tracking 6 3.1 Cookies 7 3.2 Browser Fingerprinting 8 3.3 Web Beacons 9 4. Technological Examples 10 5. Why consumer data is sought after 27 6. Conclusion 28 7. References 30 2 1. Introduction: Can you remember the last time you didn’t visit at least one website throughout your day? For most people, the common response might be “I cannot”. Surfing the web has become such a mainstay in our day to day lives that a lot of us have a hard time imagining a world without it. What seems like an endless trove of data is right at our fingertips. On the surface, using the Internet seems to be a one-sided exchange of information. We, as users, request data from companies and use it as we deem fit. - 
												
												Demystifying Content-Blockers: a Large-Scale Study of Actual Performance Gains
Demystifying Content-blockers: A Large-scale Study of Actual Performance Gains Ismael Castell-Uroz Josep Sole-Pareta´ Pere Barlet-Ros Universitat Politecnica` de Catalunya Universitat Politecnica` de Catalunya Universitat Politecnica` de Catalunya Barcelona, Spain Barcelona, Spain Barcelona, Spain [email protected] [email protected] [email protected] Abstract—With the evolution of the online advertisement and highly parallel network measurement system [10] that loads tracking ecosystem, content-filtering has become the reference every website using one of the most relevant content-blockers tool for improving the security, privacy and browsing experience of each category and compares their performance. when surfing the Internet. It is also commonly believed that using content-blockers to stop unsolicited content decreases the time We found that, although we can observe some improvements needed for loading websites. In this work, we perform a large- in terms of effective page size, the results do not directly scale study with the 100K most popular websites on the actual translate to gains in loading time. In some cases, there could performance improvements of using content-blockers. We focus even be an overhead to be paid. This is the case for two of the our study on two relevant metrics for measuring the browsing studied plugins, especially in small and fast loading websites. performance; page size and loading time. Our results show that using such tools results in small improvements in terms of page The measurement system and methodology proposed in this size but, contrary to popular belief, it has a negligible impact in paper can also be useful for network and service administrators terms of loading time. - 
												
												E Cost of Ad Blocking Pagefair and Adobe 2015 Ad Blocking Report
!e cost of ad blocking PageFair and Adobe 2015 Ad Blocking Report Introduction In the third annual ad blocking report, PageFair, with the help of Adobe, provides updated data on the scale and growth of ad blocking so"ware usage and highlights the global and regional economic impact associated with it. Additionally, this report explores the early indications surrounding the impact of ad blocking within the mobile advertising space and how mobile will change the ad blocking landscape. Table of Contents 3. Key insights 8. Effect of ad blocking by industry 13. A"erword 4. Global ad blocking growth 9. Google Chrome still the main driver of ad 14. Background 5. Usage of ad blocking so"ware in the United block growth 15. Methodology States 10. Mobile is yet to be a factor in ad blocking 16. Tables 6. Usage of ad blocking so"ware in Europe growth 17. Tables 7. !e cost of blocking ads 11. Mobile will facilitate future ad blocking growth 12. Reasons to start using an ad blocker PAGEFAIR AND ADOBE | 2015 Ad Blocking Report 2 Key Insights More consumers block ads, continuing the strong growth rates seen during 2013 and 2014. 41% YoY global growth Q2 2014 - Q2 2015 !e "ndings • Globally, the number of people using ad blocking so"ware grew by 41% year over year. • 16% of the US online population blocked ads during Q2 2015. • Ad block usage in the United States grew 48% during the past year, increasing to 45 million monthly active 45 million users (MAUs) during Q2 2015. Average MAUs in the United • Ad block usage in Europe grew by 35% during the past year, increasing to 77 million monthly active users States Q2 2015 during Q2 2015. - 
												
												Improving Transparency Into Online Targeted Advertising
AdReveal: Improving Transparency Into Online Targeted Advertising Bin Liu∗, Anmol Sheth‡, Udi Weinsberg‡, Jaideep Chandrashekar‡, Ramesh Govindan∗ ‡Technicolor ∗University of Southern California ABSTRACT tous and cover a large fraction of a user’s browsing behav- To address the pressing need to provide transparency into ior, enabling them to build comprehensive profiles of their the online targeted advertising ecosystem, we present AdRe- online interests. This widespread tracking of users and the veal, a practical measurement and analysis framework, that subsequent personalization of ads have received a great deal provides a first look at the prevalence of different ad target- of negative press; users associate adjectives such as creepy ing mechanisms. We design and implement a browser based and scary with the practice [18], primarily because they lack tool that provides detailed measurements of online display insight into how their data is being collected and used. ads, and develop analysis techniques to characterize the con- Our paper seeks to provide transparency into the targeted textual, behavioral and re-marketing based targeting mecha- advertising ecosystem, a capability that has not been ex- nisms used by advertisers. Our analysis is based on a large plored so far. We seek to enable end-users to reason about dataset consisting of measurements from 103K webpages why ads of a certain category are being displayed to them. and 139K display ads. Our results show that advertisers fre- Consider a user that repeatedly receives ads about cures for a quently target users based on their online interests; almost particularly private ailment. The user currently lacks a way half of the ad categories employ behavioral targeting. - 
												
												The Impact of Ad-Blockers on Online Consumer Behavior
Marketing Science Institute Working Paper Series 2021 Report No. 21-119 The Impact of Ad-blockers on Online Consumer Behavior Vilma Todri “The Impact of Ad-blockers on Online Consumer Behavior” © 2021 Vilma Todri MSI Working Papers are Distributed for the benefit of MSI corporate and academic members and the general public. Reports are not to be reproduced or published in any form or by any means, electronic or mechanical, without written permission. Marketing Science Institute Working Paper Series The Impact of Ad-blockers on Online Consumer Behavior Vilma Todri Goizueta Business School, Emory University, Atlanta, GA 30322 [email protected] Digital advertising is on track to become the dominant form of advertising but ad-blocking technologies have recently emerged posing a potential threat to the online advertising ecosystem. A significant and increasing fraction of Internet users has indeed already started employing ad-blockers. However, surprisingly little is known yet about the effects of ad-blockers on consumers. This paper investigates the impact of ad- blockers on online search and purchasing behaviors by empirically analyzing a consumer-level panel dataset. Interestingly, the analyses reveal that ad-blockers have a significant effect on online purchasing behavior: online consumer spending decreases due to ad-blockers by approximately $14:2 billion a year in total. In examining the underlying mechanism of the ad-blocker effects, I find that ad-blockers significantly decrease spending for brands consumers have not experienced before, partially shifting spending towards brands they have experienced in the past. I also find that ad-blockers spur additional unintended consequences as they reduce consumers' search activities across information channels. - 
												
												Whotracks. Me: Shedding Light on the Opaque World of Online Tracking
WhoTracks.Me: Shedding light on the opaque world of online tracking Arjaldo Karaj Sam Macbeth Rémi Berson [email protected] [email protected] [email protected] Josep M. Pujol [email protected] Cliqz GmbH Arabellastraße 23 Munich, Germany ABSTRACT print users and their devices [25], and the extent to Online tracking has become of increasing concern in recent which these methods are being used across the web [5], years, however our understanding of its extent to date has and quantifying the value exchanges taking place in on- been limited to snapshots from web crawls. Previous at- line advertising [7, 27]. There is a lack of transparency tempts to measure the tracking ecosystem, have been done around which third-party services are present on pages, using instrumented measurement platforms, which are not and what happens to the data they collect is a common able to accurately capture how people interact with the web. concern. By monitoring this ecosystem we can drive In this work we present a method for the measurement of awareness of the practices of these services, helping to tracking in the web through a browser extension, as well as inform users whether they are being tracked, and for a method for the aggregation and collection of this informa- what purpose. More transparency and consumer aware- tion which protects the privacy of participants. We deployed ness of these practices can help drive both consumer this extension to more than 5 million users, enabling mea- and regulatory pressure to change, and help researchers surement across multiple countries, ISPs and browser con- to better quantify the privacy and security implications figurations, to give an accurate picture of real-world track- caused by these services. - 
												
												Statement of Justin Brookman Director, Consumer Privacy Center for Democracy & Technology Before the U.S. Senate Committee O
Statement of Justin Brookman Director, Consumer Privacy Center for Democracy & Technology Before the U.S. Senate Committee on Commerce, Science, and Transportation Hearing on “A Status Update on the Development of Voluntary Do-Not-Track Standards” April 24, 2013 Chairman Rockefeller, Ranking Member Thune, and Members of the Committee: On behalf of the Center for Democracy & Technology (CDT), I thank you for the opportunity to testify today. We applaud the leadership the Chairman has demonstrated in examining the challenges in developing a consensus Do Not Track standard and appreciate the opportunity to address the continued insufficiency of self-regulatory consumer privacy protections. CDT is a non-profit, public interest organization dedicated to preserving and promoting openness, innovation, and freedom on the decentralized Internet. I currently serve as the Director of CDT’s Consumer Privacy Project. I am also an active participant in the Worldwide Web Consortium’s Tracking Protection Working Group, where I serve as editor of the “Tracking Compliance and Scope” specification — the document that purports to define what Do Not Track should mean. My testimony today will briefly describe the history of online behavioral advertising and the genesis of the Do Not Track initiative. I will then describe the current state of the World Wide Web Consortium’s efforts to create Do Not Track standards and the challenges going forward to implement Do Not Track tools successfully. I will conclude with my thoughts on the future of Do Not Track. and why I believe that this protracted struggle demonstrates the need for the fundamental reform of our nation’s privacy protection framework for commercial and government collection and use of personal information. - 
												
												Amazon Silk Developer Guide Amazon Silk Developer Guide
Amazon Silk Developer Guide Amazon Silk Developer Guide Amazon Silk: Developer Guide Copyright © 2015 Amazon Web Services, Inc. and/or its affiliates. All rights reserved. The following are trademarks of Amazon Web Services, Inc.: Amazon, Amazon Web Services Design, AWS, Amazon CloudFront, AWS CloudTrail, AWS CodeDeploy, Amazon Cognito, Amazon DevPay, DynamoDB, ElastiCache, Amazon EC2, Amazon Elastic Compute Cloud, Amazon Glacier, Amazon Kinesis, Kindle, Kindle Fire, AWS Marketplace Design, Mechanical Turk, Amazon Redshift, Amazon Route 53, Amazon S3, Amazon VPC, and Amazon WorkDocs. In addition, Amazon.com graphics, logos, page headers, button icons, scripts, and service names are trademarks, or trade dress of Amazon in the U.S. and/or other countries. Amazon©s trademarks and trade dress may not be used in connection with any product or service that is not Amazon©s, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. AWS documentation posted on the Alpha server is for internal testing and review purposes only. It is not intended for external customers. Amazon Silk Developer Guide Table of Contents What Is Amazon Silk? .................................................................................................................... 1 Split Browser Architecture ...................................................................................................... - 
												
												Will Ad Blocking Break the Internet?
NBER WORKING PAPER SERIES WILL AD BLOCKING BREAK THE INTERNET? Ben Shiller Joel Waldfogel Johnny Ryan Working Paper 23058 http://www.nber.org/papers/w23058 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 January 2017 Johnny Ryan is an employee of PageFair, a firm that measures the extent of ad blocking and offers ad-recovery technologies that enable publishers to display ads in a manner that adblockers cannot block. Neither Shiller nor Waldfogel has received any compensation for the research in the paper. PageFair was allowed to review the paper for accuracy but did not have control over the paper's findings nor conclusions. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications. © 2017 by Ben Shiller, Joel Waldfogel, and Johnny Ryan. All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source. Will Ad Blocking Break the Internet? Ben Shiller, Joel Waldfogel, and Johnny Ryan NBER Working Paper No. 23058 January 2017 JEL No. L81,L82 ABSTRACT Ad blockers allow Internet users to obtain information without generating ad revenue for site owners; and by 2016 they were used by roughly a quarter of site visitors. Given the ad-supported nature of much of the web, ad blocking poses a threat to site revenue and, if revenue losses undermine investment, a possible threat to consumers' access to appealing content.