Download - Academy Publisher
Download - Academy Publisher
Download - Academy Publisher
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
E-commerce occurs in the P2P(peer-to-peer)<br />
E-commerce. The peer-to-peer (P2P) systems and<br />
applications employ distributed resources to perform<br />
critical functions in a decentralized manner. Peer-to-peer<br />
computing is the sharing of computer resources and<br />
services through direct communication between systems.<br />
a P2P-based architecture doesn’t require extra costs to<br />
set up separate servers, but once a requesting peer needs<br />
to know a service provider’s trust status, in general, it<br />
must broadcast a request to other peers. Thus, this<br />
architecture is costly in terms of network communication.<br />
Person-to-person online auction sites such as eBay<br />
and many business-to-business (B2B) services such as<br />
supply-chain-management networks are examples of P2P<br />
communities built on top of a client-server architecture.<br />
In E-Commerce settings, P2P communities are often<br />
established dynamically with peers(transction parties)<br />
that are unrelated and unknown to each other. Peers have<br />
to manage the risk involved with the transactions without<br />
prior experience and knowledge about each other’s<br />
reputation. One way to address this uncertainty problem<br />
is to develop strategies for establishing trust and develop<br />
systems that can assist peers in assessing the level of trust<br />
they should place on an E-Commerce transaction. [8]<br />
C. Distributed Trust Management<br />
Different from either of these architectures is a<br />
distributed architecture, which comprises a set of trust<br />
management brokers that partition the data among<br />
themselves. This method also helps partition the trust<br />
computation workload and provides a more reliable<br />
environment because it can ensure a relatively complete<br />
data set. However, the collaboration among brokers and<br />
the cost to set them up might be concerns.<br />
Researchers have also actively studied trust issues in<br />
multiagent environments. A software agent is<br />
autonomous and self-interested, expected to complete the<br />
tasks its owner or other agents specified. In addition to<br />
evaluating trust in agent interactions (such as transactions<br />
in an e-commerce context or services in an SOC one),<br />
studies looking at multiagent environments must consider<br />
other issues, such as agents ’ motivations and the<br />
influence and dependency relationships among them.[9]<br />
III. CLOUD TRUST MODEL IN EC<br />
Recently, cloud computing has emerged as an<br />
important technology that has received attention from<br />
both the research community and service industry. Cloud<br />
computing is a recent trend in IT that moves computing<br />
and data away from desktop and portable PCs into large<br />
data centers. Within the cloud,Consumers purchase such<br />
services in the form of infrastructure-as-a-service (IaaS),<br />
platform-as-a-service (PaaS), or software-as-a-service<br />
(SaaS) and sell value-added services(such as utility<br />
services) to users. We can apply cloud computing<br />
technology to the trust management in E-commerce.And<br />
then,a Cloud Trust Model (CTM) is prospersed in the<br />
article concerning the applications of cloud computing at<br />
persent.<br />
A. Applications of Clouds<br />
We can distinguish two different architectural<br />
models for clouds: the first one is designed to scale out<br />
by providing additional computing instances on demand.<br />
Clouds can use these instances to supply services in the<br />
form of SaaS and PaaS. The second architectural model<br />
is designed to provide data and compute-intensive<br />
applications via scaling capacity.[10]<br />
B. the Framework of Cloud Trust Model in E-commerce<br />
As showed by the figure 1,the CTM comprises<br />
Cloud Trust Services<br />
increasing the<br />
capacity of<br />
computing<br />
Cloud Computing<br />
applications<br />
multi-Dementional analysis in<br />
special trasation<br />
general evaluation analysis in<br />
history trasations<br />
noise elimination in trust<br />
evaluation managem<br />
trust<br />
management<br />
server/the third<br />
party<br />
peer(trasaction<br />
party) trust<br />
management<br />
Centralized<br />
Trust<br />
Decentraized<br />
Trust<br />
the paltform of<br />
computing<br />
recommender’s role analysis in<br />
the role hierarchy<br />
attributes trust<br />
brokes/<br />
multiagent<br />
Distributed<br />
Trust<br />
Social network analysis<br />
ID system<br />
Data Mining<br />
Figure 1. the Framework of Cloud Trust Model in E-commerce<br />
272