Publication Date:
2022-03-07
Description:
As a result of changes in approach from traditional to virtual banking system, security in
data exchange has become more important; thus, it seems essentially necessary to present a pattern
based on smart models in order to reduce fraud in this field. A new algorithm has been provided in
this article to improve security and to specify the limits of giving special services to Internet banking
users in order to pave appropriate ground for virtual banking. In addition to identifying behavioral
models of customers, this algorithm compares the behaviors of any customer with this model and
finally computes the rate of trust in customer’s behavior. The hybrid data-mining and knowledge
based structure has been adapted in this algorithm according to fuzzy systems. In this research,
qualitative data was gathered from interviews with banking experts, analyzed by Expert Choice
to identify the most important variables of customer behavior analysis, and to analyze customer
behavior and customer bank Internet transaction data for a period of one year by MATLAB and
Clementine. The results of this survey indicate that the potential of the given structure to recognize
the rate of trust in Internet bank user’s behavior might be at reasonable level for experts in this area.
Description:
Published
Description:
916
Description:
3IT. Calcolo scientifico
Description:
JCR Journal
Repository Name:
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Type:
article
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