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information. As there is no deduction from the gain even if just taking the informa-
tion of an open persona, the strategy that both sides use open personas is a Nash
equilibrium.
5.4 Technology Related to the Reputation Based Trust
Reputation based trust is to perform the evaluation of the trust of a person based on
the records of the interactions among other people.
5.4.1 Related Works of the Reputation Based Trust
Before beginning the discussion about reputation based trust, we will discuss
related works.
Artz and Gil ( 2007 ) surveyed the researches about trust in computer science and
the Semantic Web. According to their study, research about trust is classified into
the following four categories, (1) based on the certificate issued by the trustable
principal, (2) based on reputation by the community, (3) based on the calculated
value based on the general model of trust, and (4) based on the study of trust of
information sources. Furthermore, they classified the researches based on reputa-
tion by the community as follows, decentralization and referral trust, trust in
P2P networks and grids, and trust metrics in a web of trust.
Decentralization and referral trust
For decentralization and referral trust studies of distributed management against
security problems for the centralized management of reputation, in this study we
include “open networks by (Beth et al. 1994 ) is an algorithm to evaluate the
reputation of a P2P system based on the transitivity of trust.
Trust in P2P networks and grids
For trust in P2P networks and grids studies on the evaluation methods for the
quality of the data without guarantee over P2P networks, the EigenTrust
algorithm (Kamvar et al. 2003 ) is an algorithm to evaluate the reputation of
the P2P system based on transitivity of trust. The reliability of each peer is
computed with the PageRank algorithm (Brin and Page 1998 ; Langville and
Meyer 2006 ). Damiani et al. proposed an automatic voting protocol called
XRep (Damiani et al. 2002a , b ) to select the best host to get a reputation for the
resource from the feedback.
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