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Mykola Protsenko, "A Framework for Performance Analysis of Tracking Algorithms in Vehicular Networks," Bachelor Thesis, Department of Computer Science, Friedrich–Alexander University of Erlangen–Nuremberg (FAU), August 2011. (Advisors: David Eckhoff and Falko Dressler)


The Intelligent Transportation System (ITS) is a very promising new approach to improve safety and convenience of the vehicle transportation. This approach is based on the communication between vehicles (Inter-Vehicle Communication, IVC) interconnected via ad-hoc wireless network (Vehicular Ad-hoc NETwork, VANET). Since the intensive communication between vehicles over the radio is vulnerable for overhearing, it brings up an additional challenge of preserving location privacy for participants. The main goal of this work was to design and implement a framework for privacy evaluation suitable for different tracking algorithms and scenarios. In this framework we have implemented three simple tracking methods including our own new one. Using the traffic simulation we have shown that in case of global adversary the vehicles are fairly traceable in low and medium dense traffic scenarios even if they change pseudonyms in every message. This should give the motivation to look for additional privacy preserving techniques aside of the pseudonym changes.

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Mykola Protsenko

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    author = {Protsenko, Mykola},
    title = {{A Framework for Performance Analysis of Tracking Algorithms in Vehicular Networks}},
    advisor = {Eckhoff, David and Dressler, Falko},
    institution = {Department of Computer Science},
    location = {Erlangen, Germany},
    month = {8},
    school = {Friedrich--Alexander University of Erlangen--Nuremberg (FAU)},
    type = {Bachelor Thesis},
    year = {2011},

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