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DBIS

Establishing Trust in P2P Distributed Analytics Infrastructures

January 30th, 2023

Thesis Type
  • Master
Status
Finished
Presentation room
Seminar room I5 6202
Supervisor(s)
Stefan Decker
Advisor(s)
Sascha Welten
Contact
welten@dbis.rwth-aachen.de

This Master thesis addresses the challenge of establishing trust in Peer-to-Peer (P2P) Distributed Analytics infrastructures, with a focus on the concepts of Eigentrust and trust between entities. The research will investigate the current challenges and limitations in building trust in P2P systems, and will explore techniques for improving the trustworthiness of these systems, including the use of Eigentrust and mechanisms for establishing trust between entities in a P2P network. The study will also examine the impact of trust on the performance, reliability, and security of P2P distributed analytics systems. The results of this thesis will provide valuable insights for the design and deployment of more secure and trustworthy P2P distributed analytics infrastructures.