Privacy Considerations of Online Behavioural 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. -
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. -
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 -
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. -
Cookie Swap Party: Abusing First-Party Cookies for Web Tracking
Cookie Swap Party: Abusing First-Party Cookies for Web Tracking Quan Chen Panagiotis Ilia [email protected] [email protected] North Carolina State University University of Illinois at Chicago Raleigh, USA Chicago, USA Michalis Polychronakis Alexandros Kapravelos [email protected] [email protected] Stony Brook University North Carolina State University Stony Brook, USA Raleigh, USA ABSTRACT 1 INTRODUCTION As a step towards protecting user privacy, most web browsers perform Most of the JavaScript (JS) [8] code on modern websites is provided some form of third-party HTTP cookie blocking or periodic deletion by external, third-party sources [18, 26, 31, 38]. Third-party JS li- by default, while users typically have the option to select even stricter braries execute in the context of the page that includes them and have blocking policies. As a result, web trackers have shifted their efforts access to the DOM interface of that page. In many scenarios it is to work around these restrictions and retain or even improve the extent preferable to allow third-party JS code to run in the context of the of their tracking capability. parent page. For example, in the case of analytics libraries, certain In this paper, we shed light into the increasingly used practice of re- user interaction metrics (e.g., mouse movements and clicks) cannot lying on first-party cookies that are set by third-party JavaScript code be obtained if JS code executes in a separate iframe. to implement user tracking and other potentially unwanted capabil- This cross-domain inclusion of third-party JS code poses security ities. -
Analysis and Detection of Spying Browser Extensions
I Spy with My Little Eye: Analysis and Detection of Spying Browser Extensions Anupama Aggarwal⇤, Bimal Viswanath†, Liang Zhang‡, Saravana Kumar§, Ayush Shah⇤ and Ponnurangam Kumaraguru⇤ ⇤IIIT - Delhi, India, email: [email protected], [email protected], [email protected] †UC Santa Barbara, email: [email protected] ‡Northeastern University, email: [email protected] §CEG, Guindy, India, email: [email protected] Abstract—In this work, we take a step towards understanding history) and sends the information to third-party domains, and defending against spying browser extensions. These are when its core functionality does not require such information extensions repurposed to capture online activities of a user communication (Section 3). Such information theft is a and communicate the collected sensitive information to a serious violation of user privacy. For example, a user’s third-party domain. We conduct an empirical study of such browsing history can contain URLs referencing private doc- extensions on the Chrome Web Store. First, we present an in- uments (e.g., Google docs) or the URL parameters can depth analysis of the spying behavior of these extensions. We reveal privacy sensitive activities performed by the user on observe that these extensions steal a variety of sensitive user a site (e.g., online e-commerce transactions, password based information, such as the complete browsing history (e.g., the authentication). Moreover, if private data is further sold or sequence of web traversals), online social network (OSN) access exchanged with cyber-criminals [4], it can be misused in tokens, IP address, and geolocation. Second, we investigate numerous ways. -
Track the Planet: a Web-Scale Analysis of How Online Behavioral Advertising Violates Social Norms
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2017 Track The Planet: A Web-Scale Analysis Of How Online Behavioral Advertising Violates Social Norms Timothy Patrick Libert University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Communication Commons, Computer Sciences Commons, and the Public Policy Commons Recommended Citation Libert, Timothy Patrick, "Track The Planet: A Web-Scale Analysis Of How Online Behavioral Advertising Violates Social Norms" (2017). Publicly Accessible Penn Dissertations. 2714. https://repository.upenn.edu/edissertations/2714 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/2714 For more information, please contact [email protected]. Track The Planet: A Web-Scale Analysis Of How Online Behavioral Advertising Violates Social Norms Abstract Various forms of media have long been supported by advertising as part of a broader social agreement in which the public gains access to monetarily free or subsidized content in exchange for paying attention to advertising. In print- and broadcast-oriented media distribution systems, advertisers relied on broad audience demographics of various publications and programs in order to target their offers to the appropriate groups of people. The shift to distributing media on the World Wide Web has vastly altered the underlying dynamic by which advertisements are targeted. Rather than rely on imprecise demographics, the online behavioral advertising (OBA) industry has developed a system by which individuals’ web browsing histories are covertly surveilled in order that their product preferences may be deduced from their online behavior. Due to a failure of regulation, Internet users have virtually no means to control such surveillance, and it contravenes a host of well-established social norms. -
Web Tracking – a Literature Review on the State of Research
Proceedings of the 51st Hawaii International Conference on System Sciences j 2018 Web Tracking – A Literature Review on the State of Research Tatiana Ermakova Benedict Bender University of Potsdam University of Potsdam [email protected] [email protected] Benjamin Fabian Kerstin Klimek HfT Leipzig University of Potsdam [email protected] [email protected] Abstract (Fabian et al., 2015; Bender et al., 2016). Hence, driven by a variety of enabling techniques (Besson et Web tracking seems to become ubiquitous in online al., 2014; Sanchez-Rola et al., 2016), web tracking has business and leads to increased privacy concerns of become ubiquitous on the Web (Roesner et al., 2012), users. This paper provides an overview over the across websites and even across devices (Brookman et current state of the art of web-tracking research, al., 2017). Besides targeted advertising (Sanchez-Rola aiming to reveal the relevance and methodologies of et al., 2016; Parra-Arnau, 2017), web tracking can be this research area and creates a foundation for future employed for personalization (Sanchez-Rola et al., work. In particular, this study addresses the following 2016; Mayer & Mitchell, 2012; Roesner et al., 2012), research questions: What methods are followed? What advanced web site analytics, social network integration results have been achieved so far? What are potential (Mayer & Mitchell, 2012; Roesner et al., 2012), and future research areas? For these goals, a structured website development (Fourie & Bothma, 2007). literature review based upon an established For online users, especially mature, well-off and methodological framework is conducted. The identified educated individuals, who constitute the most preferred articles are investigated with respect to the applied target group of web tracking (Peacock, 2015), the web research methodologies and the aspects of web tracking practices also imply higher privacy losses tracking they emphasize. -
Online Tracking, Targeted Advertising and User Privacy - the Technical Part Privacy and Web 2.0 Seminar Summer Term 2011
Online Tracking, Targeted Advertising and User Privacy - The Technical Part Privacy and Web 2.0 Seminar Summer Term 2011 Simon Sprankel sprankel[at]rbg.informatik.tu-darmstadt.de September 30th, 2011 This paper gives a short overview over the field of Online Tracking, Online Targeted Advertising (OTA) and the related privacy issues. Balachander Krishnamurthy rightly states that \there are at least three different angles through which one could approach the problem of reducing privacy leakage: technical, legislative and economic" [1]. This paper focuses on the technical part, whereas Nadine Tr¨uschler's paper mainly focuses on the legislative and economic part. Since she also gives a more detailed introduction in the topic of OTA, it is advantageous to read her paper first. 1 Introduction A short analysis of network traffic suffices in order to see that tracking of users over mul- tiple websites is an up-to-date topic and raises various privacy concerns. For instance studiVZ, one of the largest German Online Social Networks (OSNs), communicates ones profile ID to a big advertising company, Tradedoubler. Another example is a Facebook app called Kickmania, which communicates ones profile ID to another advertising com- pany [2]. Hence, these companies are able to identify the user via its public profile at the OSN. Data, which makes a person identifiable is called Personally Identifiable Infor- mation (PII). There are numerous other cases in which web applications delegate PII to advertising companies. With the growing use of online social networks, the problem has even become worse. It has been shown, that \it is possible for third-parties to link PII, which is leaked via OSNs, with user actions both within OSN sites and elsewhere on non-OSN sites" [2]. -
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. -
Tracking the Cookies a Quantitative Study on User Perceptions About Online Tracking
Bachelor of Science in Computer Science Mars 2019 Tracking the cookies A quantitative study on user perceptions about online tracking. Christian Gribing Arlfors Simon Nilsson Faculty of Computing, Blekinge Institute of Technology, 371 79 Karlskrona, Sweden This thesis is submitted to the Faculty of Computing at Blekinge Institute of Technology in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science. The thesis is equivalent to 20 weeks of full time studies. The authors declare that they are the sole authors of this thesis and that they have not used any sources other than those listed in the bibliography and identified as references. They further declare that they have not submitted this thesis at any other institution to obtain a degree. Contact Information: Author(s): Christian Gribing Arlfors E-mail: [email protected] Simon Nilsson E-mail: [email protected] University advisor: Fredrik Erlandsson Department of Computer Science Faculty of Computing Internet : www.bth.se Blekinge Institute of Technology Phone : +46 455 38 50 00 SE–371 79 Karlskrona, Sweden Fax : +46 455 38 50 57 Abstract Background. Cookies and third-party requests are partially implemented to en- hance user experience when traversing the web, without them the web browsing would be a tedious and repetitive task. However, their technology also enables com- panies to track users across the web to see which sites they visit, which items they buy and their overall browsing habits which can intrude on users privacy. Objectives. This thesis will present user perceptions and thoughts on the tracking that occurs on their most frequently visited websites. -
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.......................