Tracking on the Web, Mobile and the Internet-of-Things

@article{Binns2022TrackingOT,
  title={Tracking on the Web, Mobile and the Internet-of-Things},
  author={Reuben Binns},
  journal={Found. Trends Web Sci.},
  year={2022},
  volume={8},
  pages={1-113}
}
  • R. Binns
  • Published 26 January 2022
  • Computer Science
  • Found. Trends Web Sci.
‘Tracking’ is the collection of data about an individual’s activity across multiple distinct contexts and the retention, use, or sharing of data derived from that activity outside the context in which it occurred. This paper aims to introduce tracking on the web, smartphones, and the Internet of Things, to an audience with little or no previous knowledge. It covers these topics primarily from the perspective of computer science and humancomputer interaction, but also includes relevant law and… 
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References

SHOWING 1-10 OF 321 REFERENCES

A Privacy Analysis of Cross-device Tracking

It is shown that the similarity of IP addresses and Internet history for a user’s devices gives rise to a matching rate of F-1 = 0.91 for connecting a mobile to a desktop device in the authors' dataset, which is especially noteworthy in light of the increase in learning power that cross-device companies may achieve by leveraging user data from more than one device.

An Analysis of Web Tracking Domains in Mobile Applications

This paper investigates the top applications in categories designed to provide information to users or that are used in social networks and advocates that the same features in web browsers become available through the native mobile operating system.

Shining the Floodlights on Mobile Web Tracking — A Privacy Survey

This first published large-scale study of mobile web tracking is presented, comparing tracking across five physical and emulated mobile devices with one desktop device as a benchmark.

Third-Party Web Tracking: Policy and Technology

The current policy debate surrounding third-party web tracking is surveyed and the FourthParty web measurement platform is presented, to inform researchers with essential background and tools for contributing to public understanding and policy debates about web tracking.

Third Party Tracking in the Mobile Ecosystem

It is found that most apps contain third party tracking, and the distribution of trackers is long-tailed with several highly dominant trackers accounting for a large portion of the coverage.

Apps, Trackers, Privacy, and Regulators: A Global Study of the Mobile Tracking Ecosystem

An automated methods to detect third-party advertising and tracking services at the traffic level are developed and the business relationships between the providers of these services are uncovered, revealing them by their prevalence in the mobile and Web ecosystem.

Online Tracking: A 1-million-site Measurement and Analysis

The largest and most detailed measurement of online tracking conducted to date, based on a crawl of the top 1 million websites, is presented, which demonstrates the OpenWPM platform's strength in enabling researchers to rapidly detect, quantify, and characterize emerging online tracking behaviors.

Non-tracking web analytics

This paper presents the first design of a system that provides web analytics without tracking, which gives users differential privacy guarantees, can provide better quality analytics than current services, requires no new organizational players, and is practical to deploy.

WhoTracks.Me: Monitoring the online tracking landscape at scale

This work instrument a crowd-sourced measurement of third-parties across the web via users who consent to data collection via a browser extension, done with privacy-by-design in mind, and introduces no privacy side effects.

Internet Jones and the Raiders of the Lost Trackers: An Archaeological Study of Web Tracking from 1996 to 2016

It is argued that an understanding of the ecosystem’s historical trends is important to any technical and policy discussions surrounding tracking and that third-party tracking on the web has increased in prevalence and complexity since the first third- party tracker was observed in 1996.
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