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This articles surveys the existing literature on the methods currently used by web services to track the user online as well as their purposes, implications, and possible user's defenses. A significant majority of reviewed articles and web…

计算机与社会 · 计算机科学 2015-07-29 Tomasz Bujlow , Valentín Carela-Español , Josep Solé-Pareta , Pere Barlet-Ros

People are becoming increasingly concerned with their online privacy, especially with how advertising companies track them across websites (a practice called cross-site tracking), as reconstructing a user's browser history can reveal…

密码学与安全 · 计算机科学 2023-11-22 Alisha Ukani

To protect users' privacy, legislators have regulated the usage of tracking technologies, mandating the acquisition of users' consent before collecting data. Consequently, websites started showing more and more consent management modules --…

密码学与安全 · 计算机科学 2022-09-14 Nikhil Jha , Martino Trevisan , Luca Vassio , Marco Mellia

Third party tracking allows companies to identify users and track their behaviour across multiple digital services. This paper presents an empirical study of the prevalence of third-party trackers on 959,000 apps from the US and UK Google…

计算机与社会 · 计算机科学 2018-10-19 Reuben Binns , Ulrik Lyngs , Max Van Kleek , Jun Zhao , Timothy Libert , Nigel Shadbolt

Website owners make conscious and unconscious decisions that affect their users, potentially exposing them to privacy and security risks in the process. In this paper we introduce PrivacyScore, an automated website scanning portal that…

密码学与安全 · 计算机科学 2017-10-12 Max Maass , Pascal Wichmann , Henning Pridöhl , Dominik Herrmann

Third-party networks collect vast amounts of data about users via web sites and mobile applications. Consolidations among tracker companies can significantly increase their individual tracking capabilities, prompting scrutiny by competition…

计算机与社会 · 计算机科学 2018-02-08 Reuben Binns , Jun Zhao , Max Van Kleek , Nigel Shadbolt

Third party tracking is the practice by which third parties recognize users accross different websites as they browse the web. Recent studies show that 90% of websites contain third party content that is tracking its users across the web.…

密码学与安全 · 计算机科学 2017-03-23 Dolière Francis Somé , Nataliia Bielova , Tamara Rezk

Modern websites frequently use and embed third-party services to facilitate web development, connect to social media, or for monetization. This often introduces privacy issues as the inclusion of third-party services on a website can allow…

人机交互 · 计算机科学 2022-10-05 Christine Utz , Sabrina Amft , Martin Degeling , Thorsten Holz , Sascha Fahl , Florian Schaub

Websites with hyper-partisan, left or right-leaning focus offer content that is typically biased towards the expectations of their target audience. Such content often polarizes users, who are repeatedly primed to specific (extreme) content,…

计算机与社会 · 计算机科学 2020-04-01 Pushkal Agarwal , Sagar Joglekar , Panagiotis Papadopoulos , Nishanth Sastry , Nicolas Kourtellis

Browser fingerprinting is a growing technique for identifying and tracking users online without traditional methods like cookies. This paper gives an overview by examining the various fingerprinting techniques and analyzes the entropy and…

密码学与安全 · 计算机科学 2024-11-20 Alexander Lawall

We perform a large-scale analysis of third-party trackers on the World Wide Web from more than 3.5 billion web pages of the CommonCrawl 2012 corpus. We extract a dataset containing more than 140 million third-party embeddings in over 41…

社会与信息网络 · 计算机科学 2016-08-01 Sebastian Schelter , Jérôme Kunegis

To what extent are users surveilled on the web, by what technologies, and by whom? We answer these questions by combining passively observed, anonymized browsing data of a large, representative sample of Americans with domain-level data on…

应用统计 · 统计学 2026-01-01 Lucas Shen , Gaurav Sood

Online tracking is a primary concern for Internet users, yet previous research has not found a clear link between the cognitive understanding of tracking and protective actions. We postulate that protective behaviour follows affective…

人机交互 · 计算机科学 2023-05-08 Kovila P. L. Coopamootoo , Maryam Mehrnezhad , Ehsan Toreini

Third-party web tracking is a common, and broadly used technique on the Web. Almost every step of users' is tracked, analyzed, and later used in different use cases (e.g., online advertisement). Different defense mechanisms have emerged to…

密码学与安全 · 计算机科学 2022-02-11 Nurullah Demir , Daniel Theis , Tobias Urban , Norbert Pohlmann

Different countries have different privacy regulatory models. These models impact the perspectives and laws surrounding internet privacy. However, little is known about how effective the regulatory models are when it comes to limiting…

密码学与安全 · 计算机科学 2015-06-15 Nathaniel Fruchter , Hsin Miao , Scott Stevenson , Rebecca Balebako

A dominant regulatory model for web privacy is "notice and choice". In this model, users are notified of data collection and provided with options to control it. To examine the efficacy of this approach, this study presents the first…

计算机与社会 · 计算机科学 2018-05-04 Timothy Libert

The presence of third-party tracking on websites has become customary. However, our understanding of the third-party ecosystem is still very rudimentary. We examine third-party trackers from a geographical perspective, observing the…

社会与信息网络 · 计算机科学 2014-09-04 Marjan Falahrastegar , Hamed Haddadi , Steve Uhlig , Richard Mortier

Online privacy has become increasingly important in recent years. While third-party cookies have been widely used for years, they have also been criticized for their potential impact on user privacy. They can be used by advertisers to track…

密码学与安全 · 计算机科学 2024-05-16 Ismael Castell-Uroz , Pere Barlet-Ros

On today's Web, users trade access to their private data for content and services. Advertising sustains the business model of many websites and applications. Efficient and successful advertising relies on predicting users' actions and…

计算机与社会 · 计算机科学 2016-05-25 Silvia Puglisi , David Rebollo-Monedero , Jordi Forné

This paper explores tracking and privacy risks on pornography websites. Our analysis of 22,484 pornography websites indicated that 93% leak user data to a third party. Tracking on these sites is highly concentrated by a handful of major…

计算机与社会 · 计算机科学 2019-07-16 Elena Maris , Timothy Libert , Jennifer Henrichsen
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