Towards real-time web tracking detection with T.EX - The Transparency EXtension

dc.contributor.authorRaschke, Philip
dc.contributor.authorZickau, Sebastian
dc.contributor.authorKröger, Jacob Leon
dc.contributor.authorKüpper , Axel
dc.date.accessioned2022-11-15T13:37:14Z
dc.date.available2022-11-15T13:37:14Z
dc.date.issued2019-06-08
dc.description.abstractTargeted 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. Due to its sensitivity and the manual effort to collect it, real user data is avoided. Therefore, we present T.EX - The Transparency EXtension, which aims to record a browsing session in a secure and privacy-preserving manner. We define requirements and objectives, which are used for the design of the tool. An implementation is presented, which is evaluated for its performance. The evaluation shows that our implementation can be used for the collection of data to feed machine learning algorithms.en
dc.description.sponsorshipEC/H2020/731601/EU/Scalable Policy-awarE linked data arChitecture for prIvacy, trAnsparency and compLiance/SPECIAL
dc.identifier.isbn978-3-030-21752-5
dc.identifier.isbn978-3-030-21751-8
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/17671
dc.identifier.urihttps://doi.org/10.14279/depositonce-16456
dc.language.isoen
dc.relation.ispartof10.14279/depositonce-16043
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subject.ddc000 Informatik, Informationswissenschaft, allgemeine Werkede
dc.subject.otherweb trackingen
dc.subject.otherbrowsing behavioren
dc.subject.otherdata privacyen
dc.subject.otherbrowser extensionen
dc.subject.otherdata qualityen
dc.subject.othermachine-learningen
dc.subject.otherclassification algorithmen
dc.titleTowards real-time web tracking detection with T.EX - The Transparency EXtensionen
dc.typeConference Object
dc.type.versionacceptedVersion
dcterms.bibliographicCitation.doi10.1007/978-3-030-21752-5_1
dcterms.bibliographicCitation.editorNaldi, Maurizio
dcterms.bibliographicCitation.editorItaliano, Giuseppe F.
dcterms.bibliographicCitation.editorRannenberg, Kai
dcterms.bibliographicCitation.editorMedina, Manel
dcterms.bibliographicCitation.editorBourka, Athena
dcterms.bibliographicCitation.originalpublishernameSpringer Nature
dcterms.bibliographicCitation.originalpublisherplaceHeidelberg
dcterms.bibliographicCitation.pageend17
dcterms.bibliographicCitation.pagestart3
dcterms.bibliographicCitation.proceedingstitlePrivacy Technologies and Policy. APF 2019. Lecture Notes in Computer Science
dcterms.bibliographicCitation.volume11498
tub.accessrights.dnbfree
tub.affiliationFak. 4 Elektrotechnik und Informatik::Inst. Telekommunikationssysteme::FG Internet und Gesellschaft
tub.publisher.universityorinstitutionTechnische Universität Berlin

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