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Browser fingerprinting can be used to identify and track users across the Web, even without cookies, by collecting attributes from users' devices to create unique "fingerprints". This technique and resulting privacy risks have been studied…

计算机与社会 · 计算机科学 2024-11-19 Alex Berke , Enrico Bacis , Badih Ghazi , Pritish Kamath , Ravi Kumar , Robin Lassonde , Pasin Manurangsi , Umar Syed

We present Tracking Protection in the Mozilla Firefox web browser. Tracking Protection is a new privacy technology to mitigate invasive tracking of users' online activity by blocking requests to tracking domains. We evaluate our approach…

密码学与安全 · 计算机科学 2015-06-15 Georgios Kontaxis , Monica Chew

Browser fingerprinting is a pervasive online tracking technique used increasingly often for profiling and targeted advertising. Prior research on the prevalence of fingerprinting heavily relied on automated web crawls, which inherently…

密码学与安全 · 计算机科学 2025-02-04 Meenatchi Sundaram Muthu Selva Annamalai , Igor Bilogrevic , Emiliano De Cristofaro

Device fingerprinting is a widely used technique that allows a third party to identify a particular device. Applications of device fingerprinting include authentication, attacker identification, or software license binding. Device…

密码学与安全 · 计算机科学 2023-09-18 Alberto Fernandez-de-Retana , Igor Santos-Grueiro

While third-party cookies have been a key component of the digital marketing ecosystem for years, they allow users to be tracked across web sites in ways that raise serious privacy concerns. Google has proposed the Privacy Sandbox…

密码学与安全 · 计算机科学 2024-10-11 Minjun Long , David Evans

Today, many web advertising data flows involve passive cross-site tracking of users. Enabling such a mechanism through the usage of third party tracking cookies (3PC) exposes sensitive user data to a large number of parties, with little…

密码学与安全 · 计算机科学 2021-10-29 Joseph J. Pfeiffer , Denis Charles , Davis Gilton , Young Hun Jung , Mehul Parsana , Erik Anderson

Website fingerprinting attacks, which use statistical analysis on network traffic to compromise user privacy, have been shown to be effective even if the traffic is sent over anonymity-preserving networks such as Tor. The classical attack…

密码学与安全 · 计算机科学 2019-02-22 Anatoly Shusterman , Lachlan Kang , Yarden Haskal , Yosef Meltser , Prateek Mittal , Yossi Oren , Yuval Yarom

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

Today, third-party JavaScript resources are indispensable part of the web platform. More than 88% of world's top websites include at least one JavaScript resource from a remote host. However, there is a great security risk behind using a…

密码学与安全 · 计算机科学 2019-02-11 Kousha Nakhaei , Ebrahim Ansari , Fateme Ansari

Securing browsers in mobile devices is very challenging, because these browser apps usually provide browsing services to other apps in the same device. A malicious app installed in a device can potentially obtain sensitive information…

密码学与安全 · 计算机科学 2014-09-02 Daoyuan Wu , Rocky K. C. Chang

Many internet ventures rely on advertising for their revenue. However, users feel discontent by the presence of ads on the websites they visit, as the data-size of ads is often comparable to that of the actual content. This has an impact…

社会与信息网络 · 计算机科学 2017-05-10 Kiran Garimella , Orestis Kostakis , Michael Mathioudakis

Websites use third-party ads and tracking services to deliver targeted ads and collect information about users that visit them. These services put users' privacy at risk, and that is why users' demand for blocking these services is growing.…

Browser extensions are small applications executed in the browser context that provide additional capabilities and enrich the user experience while surfing the web. The acceptance of extensions in current browsers is unquestionable. For…

密码学与安全 · 计算机科学 2022-02-08 Pablo Picazo-Sanchez , Juan Tapiador , Gerardo Schneider

Various in-browser privacy protection techniques have been designed to protect end-users from third-party tracking. In an arms race against these counter-measures, the tracking providers developed a new technique called CNAME cloaking based…

密码学与安全 · 计算机科学 2020-10-01 Ha Dao , Kensuke Fukuda

In this paper, we address an unsolved problem in the real world: how to ensure the integrity of the web content in a browser in the presence of malicious browser extensions? The problem of exposing confidential user credentials to malicious…

密码学与安全 · 计算机科学 2019-05-31 Ehsan Toreini , Maryam Mehrnezhad , Siamak F. Shahandashti , Feng Hao

The transparency and privacy behavior of mobile browsers has remained widely unexplored by the research community. In fact, as opposed to regular Android apps, mobile browsers may present contradicting privacy behaviors. On the one end,…

密码学与安全 · 计算机科学 2022-12-08 Amogh Pradeep , Álvaro Feal , Julien Gamba , Ashwin Rao , Martina Lindorfer , Narseo Vallina-Rodriguez , David Choffnes

Cross Site Scripting (XSS) Flaws are currently the most popular security problems in modern web applications. These Flaws make use of vulnerabilities in the code of web-applications, resulting in serious consequences, such as theft of…

密码学与安全 · 计算机科学 2010-04-13 K. Selvamani , A. Duraisamy , A. Kannan

This paper performs a large-scale study of dependency chains in the web, to find that around 50% of first-party websites render content that they did not directly load. Although the majority (84.91%) of websites have short dependency chains…

密码学与安全 · 计算机科学 2022-03-08 Muhammad Ikram , Rahat Masood , Gareth Tyson , Mohamed Ali Kaafar , Roya Ensafi

Automated analysis of privacy policies has proved a fruitful research direction, with developments such as automated policy summarization, question answering systems, and compliance detection. Prior research has been limited to analysis of…

计算机与社会 · 计算机科学 2021-07-22 Ryan Amos , Gunes Acar , Eli Lucherini , Mihir Kshirsagar , Arvind Narayanan , Jonathan Mayer

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