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Detecting Web Tracking at the Network Layer
Wittig, Maximilian und Kesdoğan, Doğan (2024) Detecting Web Tracking at the Network Layer. In: Meyer, N. und Grocholewska-Czuryło, A., (eds.) ICT Systems Security and Privacy Protection. SEC 2023. IFIP Advances in Information and Communication Technology, 679. Springer Nature Switzerland, Cham, S. 131-148. ISBN 978-3-031-56326-3.Veröffentlichungsdatum dieses Volltextes: 02 Jul 2024 04:39
Buchkapitel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.58519
Zusammenfassung
Third-party tracking allows companies to identify users and track their online activity across different websites or digital services. This paper presents a first experimental study to detect advertisements and tracker by inspecting fully encrypted network transactions at the TCP/IP network level associated with a website. The first results are encouraging and motivate to extend this first ...
Third-party tracking allows companies to identify users and track their online activity across different websites or digital services. This paper presents a first experimental study to detect advertisements and tracker by inspecting fully encrypted network transactions at the TCP/IP network level associated with a website. The first results are encouraging and motivate to extend this first proof-of-concept study even further in the future. A classical application area in the future would be the use in areas where communication can only be accessed on encrypted TCP/IP level (keyword secure IoT environments) or the presented approach is used simply to enable a classical extension of the portfolio for tracker detection.
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Details
| Dokumentenart | Buchkapitel | ||||
| ISBN | 978-3-031-56326-3 | ||||
| Buchtitel: | ICT Systems Security and Privacy Protection. SEC 2023 | ||||
|---|---|---|---|---|---|
| Verlag: | Springer Nature Switzerland | ||||
| Ort der Veröffentlichung: | Cham | ||||
| Sonstige Reihe: | IFIP Advances in Information and Communication Technology | ||||
| Band: | 679 | ||||
| Seitenbereich: | S. 131-148 | ||||
| Datum | April 2024 | ||||
| Institutionen | Wirtschaftswissenschaften > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik IV (Prof. Dr. Doğan Kesdoğan) Informatik und Data Science > Fachbereich Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik IV (Prof. Dr. Doğan Kesdoğan) | ||||
| Identifikationsnummer |
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| Stichwörter / Keywords | Online tracking, Network Traffic Classification, Privacy | ||||
| Dewey-Dezimal-Klassifikation | 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik | ||||
| Status | Veröffentlicht | ||||
| Begutachtet | Ja, diese Version wurde begutachtet | ||||
| An der Universität Regensburg entstanden | Ja | ||||
| URN der UB Regensburg | urn:nbn:de:bvb:355-epub-585191 | ||||
| Dokumenten-ID | 58519 |
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