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Anonimat i privadesa a les xarxes opportunity

  • Autores: Dapeng Chen
  • Directores de la Tesis: Joan Borrell Viader (dir. tes.) Árbol académico, Guillermo Navarro-Arribas (codir. tes.) Árbol académico
  • Lectura: En la Universitat Autònoma de Barcelona ( España ) en 2020
  • Idioma: catalán
  • ISBN: 9788449095177
  • Tribunal Calificador de la Tesis: Joaquín García Alfaro (presid.) Árbol académico, Jordi Herrera Joancomartí (secret.) Árbol académico, Jordi Castellà Roca (voc.) Árbol académico
  • Enlaces
    • Tesis en acceso abierto en: TDX
  • Resumen
    • Opportunistic Networks are networks where communication happens op- portunistically between nodes, end-to-end connectivity is not guaranteed and disruptions and delays are to be expected. There is plenty of work studying the routing strategies, architecture, dynamic congestion and network gestion, but not much work has been devoted to providing private and anonymous communication in these networks. However, it is pretty important to ensure user’s privacy and provide anonymous communication in such networks as open access.

      In this thesis, we have studied the anonymous and privacy technologies on opportunistic networks. More specifically, we divided the opportunistic networks into predictable pattern and generic pattern. To predictable op- portunistic networks, we built an anonymous schema on onion routing. We designed two efficient routing finder algorithms. To generic opportunistic networks, we exploited mix networking strategy to ensure anonymous communication.

      Furthermore, we have proposed several anonymous metrics to measure the anonymity property. We used the Jaccard distance to evaluate the routing path difference. Meanwhile, we exploited path degree measure to measure the anonymity degree of each routing path. To evaluate the performance of our proposed methods, we conducted all the experiments with real traces. From our observations, our designed methods can provide anonymous communication in opportunistic networks.


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