Conference Papers Year : 2024

Detecting Web Tracking at the Network Layer

Maximilian Wittig
  • Function : Author
  • PersonId : 1509142
Doğan Kesdoğan
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  • PersonId : 986119

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 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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Avant la publication
Friday, January 1, 2027
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Friday, January 1, 2027
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Dates and versions

hal-04953450 , version 1 (18-02-2025)

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Maximilian Wittig, Doğan Kesdoğan. Detecting Web Tracking at the Network Layer. 38th IFIP International Conference on ICT Systems Security and Privacy Protection (SEC), Jun 2023, Poznan, Poland. pp.131-148, ⟨10.1007/978-3-031-56326-3_10⟩. ⟨hal-04953450⟩
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