Model
Digital Document
Publisher
Florida Atlantic University
Description
In the last 10 years, due to the rapid developments in computers and Internet, the
Electronic Commerce has advanced significantly. More and more companies have
shifted their businesses activities to the Internet. However, the popular use of ecommerce
has also raised serious security problems.
Therefore developing security schemes has become a key issue both in the academic
as well as industrial research. Since the Internet is open to the public, the associated
security issue is challenging. A good security strategy should not only protect the
vendors' interest, but also enhance the mutual trust between vendors and customers.
As a result, the people will feel more confident in conducting e-commerce.
This thesis is dedicated to develop a fuzzy-logic based trust model. In general, the ecommerce
transactions need costly verification and authentication process. In some
cases, it is not cost effective to verify and authenticate each transaction, especially for transactions involving only small amount of money and for customers having an
excellent transaction history.
In view of this, in this research a model that distinguishes potentially safe transactions
from unsafe transactions is developed. Only those potentially unsafe transactions need
to be verified and authenticated.
The model takes a number of fuzzy variables as inputs. However, this poses problems
in constructing the trust table since the number of fuzzy rules will increase
exponentially as the number of fuzzy variables increase. To make the problem more
trackable, the variables are divided into several groups, two for each table. Each table
will produce a decision on trust. The final decision is made based on the
"intersection" of all these outputs.
Simulation studies have been conducted to validate the effectiveness of the proposed
trust model. Therefore simulations, however, need to be tested in a real business
environment using real data. Relevant limitations on the proposed model are hence
discussed and future research direction is indicated.
Electronic Commerce has advanced significantly. More and more companies have
shifted their businesses activities to the Internet. However, the popular use of ecommerce
has also raised serious security problems.
Therefore developing security schemes has become a key issue both in the academic
as well as industrial research. Since the Internet is open to the public, the associated
security issue is challenging. A good security strategy should not only protect the
vendors' interest, but also enhance the mutual trust between vendors and customers.
As a result, the people will feel more confident in conducting e-commerce.
This thesis is dedicated to develop a fuzzy-logic based trust model. In general, the ecommerce
transactions need costly verification and authentication process. In some
cases, it is not cost effective to verify and authenticate each transaction, especially for transactions involving only small amount of money and for customers having an
excellent transaction history.
In view of this, in this research a model that distinguishes potentially safe transactions
from unsafe transactions is developed. Only those potentially unsafe transactions need
to be verified and authenticated.
The model takes a number of fuzzy variables as inputs. However, this poses problems
in constructing the trust table since the number of fuzzy rules will increase
exponentially as the number of fuzzy variables increase. To make the problem more
trackable, the variables are divided into several groups, two for each table. Each table
will produce a decision on trust. The final decision is made based on the
"intersection" of all these outputs.
Simulation studies have been conducted to validate the effectiveness of the proposed
trust model. Therefore simulations, however, need to be tested in a real business
environment using real data. Relevant limitations on the proposed model are hence
discussed and future research direction is indicated.
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