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Detecting Web Tracking at the Network Layer
Wittig, Maximilian and Kesdoğan, Doğan (2024) Detecting Web Tracking at the Network Layer. In: Meyer, N. and Grocholewska-Czuryło, A., (eds.) ICT Systems Security and Privacy Protection. SEC 2023. IFIP Advances in Information and Communication Technology, 679. Springer Nature Switzerland, Cham, pp. 131-148. ISBN 978-3-031-56326-3.Date of publication of this fulltext: 02 Jul 2024 04:39
Book section
DOI to cite this document: 10.5283/epub.58519
Abstract
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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| Item type | Book section | ||||
| ISBN | 978-3-031-56326-3 | ||||
| Title of Book: | ICT Systems Security and Privacy Protection. SEC 2023 | ||||
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| Publisher: | Springer Nature Switzerland | ||||
| Place of Publication: | Cham | ||||
| Other Series: | IFIP Advances in Information and Communication Technology | ||||
| Volume: | 679 | ||||
| Page Range: | pp. 131-148 | ||||
| Date | April 2024 | ||||
| Institutions | Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik IV (Prof. Dr. Doğan Kesdoğan) Informatics and Data Science > Department Information Systems > Lehrstuhl für Wirtschaftsinformatik IV (Prof. Dr. Doğan Kesdoğan) | ||||
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| Keywords | Online tracking, Network Traffic Classification, Privacy | ||||
| Dewey Decimal Classification | 000 Computer science, information & general works > 004 Computer science | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| URN of the UB Regensburg | urn:nbn:de:bvb:355-epub-585191 | ||||
| Item ID | 58519 |
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