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PhD ThesisIn recent years Peer-to-Peer Systems have gained popularity, and are best known as a
convenient way of sharing content. However, even though they have existed for a
considerable length of time, no method has yet been developed to measure the quality of
the service they provide nor to identify cases of misbehaviour by individual peers. This
thesis attempts to give to P2P systems some quality measures with the potential of giving
querying peers criteria by which to judge and make predictions about the behaviour of
their counterparts. The work includes the design of a reputation system from which
querying peers can seek guidance before they commit to transaction with another peer.
but usually as Reputation and Recommender systems have existed for years
centralized services. Our innovation is the use of a distributed recommendation system
which will be supported by the peers themselves. The system operates in the same
manner as "word-of-mouth" in human societies does. In contrast to other reputation
systems the word-of-mouth technique is itself decentralized since there is no need for
central entities to exist as long as there are participants willing to be involved in the
recommendation process.
In order for a society to exist it is necessary that members have some way of knowing
each other so that they can form relationships. The main element used to link members in
an online community together is a virtual trust relationship that can be identified from the
evidence that exists about their virtual partnerships. In our work we approximate the level
of trust that could exist between any two parties by exploiting their similarity,
constructing a network that is known as "web of trust". Using the transitivity property of
trust, we make it possible for more peers to come in to contact through virtual trust
relationships and thus get better results than in an ordinary system.Greek State Scholarships foundatio
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