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Towards Real-Time Web Tracking Detection with T.EX - The Transparency EXtension
Citation key 10.1007/978-3-030-21752-5_1
Author Raschke, P. and Zickau, S. and Kröger, J. L. and Küpper, A.
Title of Book Privacy Technologies and Policy
Pages 3–17
Year 2019
ISBN 978-3-030-21752-5
Address Cham
Editor Naldi, Maurizio and Italiano, Giuseppe F. and Rannenberg, Kai and Medina, Manel and Bourka, Athena
Publisher Springer International Publishing
Abstract Targeted advertising is an inherent part of the modern Web as we know it. For this purpose, personal data is collected at large scale to optimize and personalize displayed advertisements to increase the probability that we click them. Anonymity and privacy are also important aspects of the World Wide Web since its beginning. Activists and developers relentlessly release tools that promise to protect us from Web tracking. Besides extensive blacklists to block Web trackers, researchers used machine learning techniques in the past years to automatically detect Web trackers. However, for this purpose often artificial data is used, which lacks in quality.
Bibtex Type of Publication SNET Social
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