European Journal of Applied Engineering and Scientific Research
Abstract
Author(s): Nungleppam Gopil Singh, Loitongbam Basantakumar Singh
With the advent of virtual marketplaces or so called online shopping sites, trust and reputation system plays a
significant role in the decision making between buyer and seller or two parties. The basic idea to trust other is
mostly through its reputation which is natural and is already successfully used for online commercial applications.
Reputation is generally computed from the accumulative ratings that are given when two or more transacting
parties transact. But preserving privacy among transacting parties and among others has become a mandatory and
necessity due to problems from defamation, monopoly, and enmity among sellers which give rise to compromise in
the reputations. The main application area of this work is in the virtual marketplaces but, can also be used for
online communities, social network and various other services where reputation systems may be used. The main
advantage of this method is to give a better, accurate and more robust reputation system which is having resistance
from manipulation. The main challenge is the extra overhead of the reputation engine which if fails collapses the
whole system. So to avoid this, a better or stable server may be used as a server for reputation engine. The main aim of this work is to provide privacy among parties so that a robust and better as well as accurate reputation may
arise. Thus we proposed a model for privacy preserving reputation system for virtual marketplaces using web based
technology. Here in this work pseudonym and cryptographic techniques are used to achieve this.
