Tracking the Cookies a Quantitative Study on User Perceptions About Online Tracking
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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. -
Zeszyty T 13 2018 Tytulowa I Redakcyjna
POLITECHNIKA KOSZALIŃSKA Zeszyty Naukowe Wydziału Elektroniki i Informatyki Nr 13 KOSZALIN 2018 Zeszyty Naukowe Wydziału Elektroniki i Informatyki Nr 13 ISSN 1897-7421 ISBN 978-83-7365-501-0 Przewodniczący Uczelnianej Rady Wydawniczej Zbigniew Danielewicz Przewodniczący Komitetu Redakcyjnego Aleksy Patryn Komitet Redakcyjny Krzysztof Bzdyra Walery Susłow Wiesław Madej Józef Drabarek Adam Słowik Strona internetowa https://weii.tu.koszalin.pl/nauka/zeszyty-naukowe Projekt okładki Tadeusz Walczak Skład, łamanie Maciej Bączek © Copyright by Wydawnictwo Uczelniane Politechniki Koszalińskiej Koszalin 2018 Wydawnictwo Uczelniane Politechniki Koszalińskiej 75-620 Koszalin, ul. Racławicka 15-17 Koszalin 2018, wyd. I, ark. wyd. 5,72, format B-5, nakład 100 egz. Druk: INTRO-DRUK, Koszalin Spis treści Damian Giebas, Rafał Wojszczyk ..................................................................................................................................................... 5 Zastosowanie wybranych reprezentacji graficznych do analizy aplikacji wielowątkowych Grzegorz Górski, Paweł Koziołko ...................................................................................................................................................... 27 Semantyczne ataki na aplikacje internetowe wykorzystujące język HTML i arkusze CSS Grzegorz Górski, Paweł Koziołko ..................................................................................................................................................... 37 Analiza skuteczności wybranych metod -
Downloading Additional Components of the Webpage
Towards Seamless Tracking-Free Web: Improved Detection of Trackers via One-class Learning Muhammad Ikramy1, Hassan Jameel Asghary, Balachander Krishnamurthy Mohamed Ali Kaafary, Anirban Mahantiy AT&T Labs–Research, USA 1 School of EET UNSW, Australia y NICTA, Australia Abstract—Numerous tools have been developed to aggressively and tailor advertisements on websites to the browsing history block the execution of popular JavaScript programs in Web and web activities of users [1], [2], [3]. The class of tools browsers. Such blocking also affects functionality of webpages (including web browser plugins), developed in an attempt to and impairs user experience. As a consequence, many privacy preserve user privacy (e.g., NoScript [4], Ghostery [5], and preserving tools that have been developed to limit online tracking, Adblock Plus [6]), aims to block JavaScript programs and other often executed via JavaScript programs, may suffer from poor components of a webpage that may compromise user privacy performance and limited uptake. A mechanism that can isolate JavaScript programs necessary for proper functioning of the and enable tracking. However, aggressive blocking can hinder website from tracking JavaScript programs would thus be useful. proper functioning of the website and impact user’s browsing Through the use of a manually labelled dataset composed of 2,612 experience [7], [8] (See AppendixE for an example of how JavaScript programs, we show how current privacy preserving a tool blocks content necessary for proper website function.). tools are ineffective in finding the right balance between blocking A mechanism that can properly isolate JavaScript programs tracking JavaScript programs and allowing functional JavaScript necessary for “legitimate” web functioning of the website from code. -
Privacy Badger One-Pager-1
EFF DEVELOPS SOFTWARE TO ENHANCE PRIVACY AND SECURE COMMUNICATIONS ONLINE Stop Creepy Online Tracking with Privacy Badger • Some companies quietly track you as you browse the web, recording what webpages you visit, for how long, and more—even if you’ve opted out by using Do Not Track! • Privacy Badger is a browser add-on that automatically stops these “third-party” trackers. To the trackers, it's like you suddenly disappeared from the web. • Privacy Badger is different from other add-ons like Disconnect, Ad-Block Plus, and Ghostery because Privacy Badger focuses on blocking tracking, not blocking ads (though some ad-blocking may occur if the tracker is actually an advertiser.) How Does Privacy Badger Work? • As you browse the web, Privacy Badger observes which third-party sources ask to load possible tracking content in your browser. • If the same source shows up repeatedly across multiple different websites asking your browser to set unique tracking cookies, Privacy Badger flags that source and tells your browser not to load any more content from it. • When your browser stops loading content from a source, that source can no longer track you. Voila—you’re now free from creepy tracking. Get Privacy Badger Today! • Visit https://www.eff.org/privacybadger to download Privacy Badger for Chrome or Firefox, or to learn more. • Also check out our other awesome add-on, HTTPS Everywhere. https://www.eff.org/https-everywhere Support EFF’s creation of even more tools to enhance privacy and security online by becoming a member today! https://www.eff.org/join . -
A Deep Dive Into the Technology of Corporate Surveillance
Behind the One-Way Mirror: A Deep Dive Into the Technology of Corporate Surveillance Author: Bennett Cyphers and Gennie Gebhart A publication of the Electronic Frontier Foundation, 2019. “Behind the One-Way Mirror: A Deep Dive Into the Technology of Corporate Surveillance” is released under a Creative Commons Attribution 4.0 International License (CC BY 4.0). View this report online: https://www.eff.org/wp/behind-the-one-way-mirror ELECTRONIC FRONTIER FOUNDATION 1 Behind the One-Way Mirror: A Deep Dive Into the Technology of Corporate Surveillance Behind the One-Way Mirror A Deep Dive Into the Technology of Corporate Surveillance BENNETT CYPHERS AND GENNIE GEBHART December 2, 2019 ELECTRONIC FRONTIER FOUNDATION 2 Behind the One-Way Mirror: A Deep Dive Into the Technology of Corporate Surveillance Introduction 4 First-party vs. third-party tracking 4 What do they know? 5 Part 1: Whose Data is it Anyway: How Do Trackers Tie Data to People? 6 Identifiers on the Web 8 Identifiers on mobile devices 17 Real-world identifiers 20 Linking identifiers over time 22 Part 2: From bits to Big Data: What do tracking networks look like? 22 Tracking in software: Websites and Apps 23 Passive, real-world tracking 27 Tracking and corporate power 31 Part 3: Data sharing: Targeting, brokers, and real-time bidding 33 Real-time bidding 34 Group targeting and look-alike audiences 39 Data brokers 39 Data consumers 41 Part 4: Fighting back 43 On the web 43 On mobile phones 45 IRL 46 In the legislature 46 ELECTRONIC FRONTIER FOUNDATION 3 Behind the One-Way Mirror: A Deep Dive Into the Technology of Corporate Surveillance Introduction Trackers are hiding in nearly every corner of today’s Internet, which is to say nearly every corner of modern life. -
Stuxnet : Analysis, Myths and Realities
ACTUSÉCU 27 XMCO David Helan STUXNET : ANALYSIS, MYTHS AND REALITIES CONTENTS Stuxnet: complete two-part article on THE virus of 2010 Keyboard Layout: analysis of the MS10-073 vulnerability used by Stuxnet Current news: Top 10 hacking techniques, zero-day IE, Gsdays 2010, ProFTPD... Blogs, softwares and our favorite Tweets... This document is the property of XMCO Partners. Any reproduction is strictly prohibited. !!!!!!!!!!!!!!!!! [1] Are you concerned by IT security in your company? ACTU SÉCU 27 XMCO Partners is a consultancy whose business is IT security audits. Services: Intrusion tests Our experts in intrusion can test your networks, systems and web applications Use of OWASP, OSSTMM and CCWAPSS technologies Security audit Technical and organizational audit of the security of your Information System Best Practices ISO 27001, PCI DSS, Sarbanes-Oxley PCI DSS support Consulting and auditing for environments requiring PCI DSS Level 1 and 2 certification. CERT-XMCO: Vulnerability monitoring Personalized monitoring of vulnerabilities and the fixes affecting your Information System CERT-XMCO: Response to intrusion Detection and diagnosis of intrusion, collection of evidence, log examination, malware autopsy About XMCO Partners: Founded in 2002 by experts in security and managed by its founders, we work in the form of fixed-fee projects with a commitment to achieve results. Intrusion tests, security audits and vulnerability monitoring are the major areas in which our firm is developing. At the same time, we work with senior management on assignments providing support to heads of information- systems security, in drawing up master plans and in working on awareness-raising seminars with several large French accounts. -
People's Tech Movement to Kick Big Tech out of Africa Could Form a Critical Part of the Global Protests Against the Enduring Legacy of Racism and Colonialism
CONTENTS Acronyms ................................................................................................................................................ 1 1 Introduction: The Rise of Digital Colonialism and Surveillance Capitalism ..................... 2 2 Threat Modeling .......................................................................................................................... 8 3 The Basics of Information Security and Software ............................................................... 10 4 Mobile Phones: Talking and Texting ...................................................................................... 14 5 Web Browsing ............................................................................................................................ 18 6 Searching the Web .................................................................................................................... 23 7 Sharing Data Safely ................................................................................................................... 25 8 Email Encryption ....................................................................................................................... 28 9 Video Chat ................................................................................................................................... 31 10 Online Document Collaboration ............................................................................................ 34 11 Protecting Your Data ................................................................................................................ -
BIG DATA Handbook a Guide for Lawyers
W BIG DATA Handbook A Guide for Lawyers Robert Maier, Partner, Baker Botts Joshua Sibble, Senior Associate, Baker Botts BIG DATA Handbook—A Guide for Lawyers Executive Summary BIG DATA AND THE FUTURE OF COMMERCE Big Data is the future. Each year Big Data—large sets of data processed to reveal previously unseen trends, behaviors, and other patterns—takes on an increasingly important role in the global economy. In 2010, the Big Data market was valued at $100 billion worldwide, and it is expected to grow to over $200 billion by 2020. The power of Big Data and artificial intelligence to crunch vast amounts of information to gain insights into the world around us, coupled with the emerging ubiquity of the Internet of Things (IoT) to sense and gather that data about nearly everything on earth and beyond, has triggered a revolution the likes of which have not been seen since the advent of the personal computer. These technologies have the potential to shatter the norms in nearly every aspect of society—from the research into what makes a workforce happier and more productive, to healthcare, to the ways we think about climate change, and to the ways we bank and do business. Not surprisingly, it seems everyone is getting into the Big Data game, from the expected—multinational computer hardware, software, and digital storage manufacturers—to the unexpected—real estate agents, small businesses, and even wildlife conservationists. Within a few years, every sector of the global economy will be touched in some way by Big Data, its benefits, and its pitfalls. -
On the Privacy Implications of Real Time Bidding
On the Privacy Implications of Real Time Bidding A Dissertation Presented by Muhammad Ahmad Bashir to The Khoury College of Computer Sciences in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science Northeastern University Boston, Massachusetts August 2019 To my parents, Javed Hanif and Najia Javed for their unconditional support, love, and prayers. i Contents List of Figures v List of Tables viii Acknowledgmentsx Abstract of the Dissertation xi 1 Introduction1 1.1 Problem Statement..................................3 1.1.1 Information Sharing Through Cookie Matching...............3 1.1.2 Information Sharing Through Ad Exchanges During RTB Auctions....5 1.2 Contributions.....................................5 1.2.1 A Generic Methodology For Detecting Information Sharing Among A&A companies..................................6 1.2.2 Transparency & Compliance: An Analysis of the ads.txt Standard...7 1.2.3 Modeling User’s Digital Privacy Footprint..................9 1.3 Roadmap....................................... 10 2 Background and Definitions 11 2.1 Online Display Advertising.............................. 11 2.2 Targeted Advertising................................. 13 2.2.1 Online Tracking............................... 14 2.2.2 Retargeted Ads................................ 14 2.3 Real Time Bidding.................................. 14 2.3.1 Overview................................... 15 2.3.2 Cookie Matching............................... 16 2.3.3 Advertisement Served via RTB....................... -
LINUX JOURNAL (ISSN 1075-3583) Is Published Monthly by Linux Journal, LLC
Getting Started Review: the A Look at GDPR’s with Nextcloud Librem 13v2 Massive Impact Since 1994: The original magazine of the Linux community PRIVACY HOW TO PROTECT YOUR DATA EFFECTIVE PRIVACY PLUGINS GIVE YOUR SERVERS SOME PRIVACY WITH TOR HIDDEN SERVICES INTERVIEW: PRIVATE INTERNET ACCESS GOES OPEN SOURCE ISSUE 286 | MAY 2018 www.linuxjournal.com MAY 2018 CONTENTS ISSUE 286 82 DEEP DIVE: PRIVACY 83 Data Privacy: Why It Matters and How to Protect Yourself by Petros Koutoupis When it comes to privacy on the internet, 118 Facebook the safest approach is to cut your Ethernet cable or power down your Compartmentalization device. In reality though, most people by Kyle Rankin can’t actually do that and remain productive. This article provides an I don’t always use Facebook, but when overview of the situation, steps you I do, it’s over a compartmentalized can take to mitigate risks and finishes browser over Tor. with a tutorial on setting up a virtual private network. 121 The Fight for Control: 106 Privacy Plugins Andrew Lee on by Kyle Rankin Open-Sourcing PIA by Doc Searls Protect yourself from privacy-defeating ad trackers and malicious JavaScript with When I learned that our sister company, these privacy-protecting plugins. Private Internet Access (PIA) was opening its source code, I immediately wanted to know the backstory, especially since 113 Tor Hidden Services privacy is the theme of this month’s issue. So I contacted Andrew Lee, who founded by Kyle Rankin PIA, and an interview ensued. Why should clients get all the privacy? Give your -
The Elephant in the Background: a Quantitative Approach to Empower Users Against Web Browser Fingerprinting
The Elephant in the Background: A Quantitative Approach to Empower Users Against Web Browser Fingerprinting Anonymous Abstract—Tracking users is a ubiquitous practice in the web Furthermore, other researchers have concentrated their ef- today. User activity is recorded on a large scale and analyzed forts on creating new fingerprinting techniques, e.g. by using by various actors to create personalized products, forecast future canvas [24] and audio objects [30] or via CSS [37]. Others behavior, and prevent online fraud. While so far HTTP cookies have significantly improved known techniques with machine have been the weapon of choice, new and more pervasive learning [42] or by extracting fingerprinting features more techniques such as browser fingerprinting are gaining traction. passively via extension activity tracking [36]. Hence, in this paper, we describe how users can be empowered against JavaScript fingerprinting by showing them when, how, The sheer diversity of fingerprinting techniques available and who is tracking them. To this end, we conduct a systematic analysis of various JavaScript fingerprinting tools. Based on this to us begs the question of which techniques are really being analysis, we design and develop FPMON: a light-weight and used and which ones are not? So far, large scale studies have comprehensive fingerprinting monitor that measures and rates only uncovered specific instances of fingerprinting and these JavaScript fingerprinting activity on any given website in real- are over 5-10 years old [1,2]. In particular, we currently lack time. Using FPMON, we evaluate the Alexa 10k most popular a comprehensive view of fingerprinting activity on the web websites to i) study the pervasiveness of JavaScript fingerprinting; today.