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      • HARVEST
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      Trust and reputation management in decentralized systems

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      Wang_Yao_PhD_thesis_09_2010.pdf (1.787Mb)
      Date
      2010-09
      Author
      Wang, Yao
      Type
      Thesis
      Degree Level
      Doctoral
      Metadata
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      Abstract
      In large, open and distributed systems, agents are often used to represent users and act on their behalves. Agents can provide good or bad services or act honestly or dishonestly. Trust and reputation mechanisms are used to distinguish good services from bad ones or honest agents from dishonest ones. My research is focused on trust and reputation management in decentralized systems. Compared with centralized systems, decentralized systems are more difficult and inefficient for agents to find and collect information to build trust and reputation. In this thesis, I propose a Bayesian network-based trust model. It provides a flexible way to present differentiated trust and combine different aspects of trust that can meet agents’ different needs. As a complementary element, I propose a super-agent based approach that facilitates reputation management in decentralized networks. The idea of allowing super-agents to form interest-based communities further enables flexible reputation management among groups of agents. A reward mechanism creates incentives for super-agents to contribute their resources and to be honest. As a single package, my work is able to promote effective, efficient and flexible trust and reputation management in decentralized systems.
      Degree
      Doctor of Philosophy (Ph.D.)
      Department
      Computer Science
      Program
      Computer Science
      Supervisor
      Vassileva, Julita
      Committee
      Horsch, Michael; Zhang, Chris; Marsh, Steve; McCalla, Gordon; Grassmann, Winfried
      Copyright Date
      September 2010
      URI
      http://hdl.handle.net/10388/etd-09152010-104440
      Subject
      super-agent
      reward
      communities
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      • Graduate Theses and Dissertations
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