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  • In this paper we present our methodology for context information processing, modeling users' behaviour and re-identification. Our primary interest is to what extent a user can be re-identified if we have his %22user profile%22 and how much information is required for a successful re-identification. We operate with ``user profiles'' that reflect user's behaviour in the past. We describe the input date we use for building behavioural characteristics; similarity searching procedure and an evaluation of the re-identification process. We discuss (and provide results of our experiments) how different initial conditions, as well as different approaches used in the similarity searching phase, influence the results and propose the optimal scenario where we obtain the most accurate results. We provide experimental results of re-identification of three protocols (SSH, HTTP and HTTPS).
  • In this paper we present our methodology for context information processing, modeling users' behaviour and re-identification. Our primary interest is to what extent a user can be re-identified if we have his %22user profile%22 and how much information is required for a successful re-identification. We operate with ``user profiles'' that reflect user's behaviour in the past. We describe the input date we use for building behavioural characteristics; similarity searching procedure and an evaluation of the re-identification process. We discuss (and provide results of our experiments) how different initial conditions, as well as different approaches used in the similarity searching phase, influence the results and propose the optimal scenario where we obtain the most accurate results. We provide experimental results of re-identification of three protocols (SSH, HTTP and HTTPS). (en)
Title
  • User profiling and re-identification: Case of university-wide network analysis
  • User profiling and re-identification: Case of university-wide network analysis (en)
skos:prefLabel
  • User profiling and re-identification: Case of university-wide network analysis
  • User profiling and re-identification: Case of university-wide network analysis (en)
skos:notation
  • RIV/00216224:14330/09:00067134!RIV14-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LA09016)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 347956
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/09:00067134
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • user profiling; network analysis; data mining; IDF; similarity searching; cosine similarity (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [D829148EE844]
http://linked.open...v/mistoKonaniAkce
  • Linz, Austria
http://linked.open...i/riv/mistoVydani
  • Heidelberg
http://linked.open...i/riv/nazevZdroje
  • Trust, Privacy and Security in Digital Business, 6th International Conference, TrustBus 2009
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Matyáš, Václav
  • Kumpošt, Marek
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 0302-9743
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-03748-1_1
http://purl.org/ne...btex#hasPublisher
  • Springer, Lecture Notes in Computer Science (LNCS)
https://schema.org/isbn
  • 9783642037474
http://localhost/t...ganizacniJednotka
  • 14330
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