Towards a More Secure Mobile Banking System: The case of Iran

Technology is entwined in almost every part of one's lives. Today's students are using more technology than ever before. Information technology has revolutionized every industry and especially the banking industry. Tremendous improvements in technology have taken place in the Indian banking sector. Among all, Mobile Banking (m-banking) is the recent phenomenon that changed country's banking system. Students, being considered as most technically knowledgeable make most use of mobile banking services among all the banking customers. Therefore, the focus is particularly towards the young students engaging in m-banking services and to evaluate the factors that influence them to adopt m-banking. The study considers extended Technology Adoption Model (TAM) to measure the impact of the factors on adoption of m-banking. For the study, data was collected through questionnaire from 217 students of Western Rajasthan. The result of this research would provide valuable information to service providers in order to improve their m-banking services.

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Performance evaluation on end-to-end security architecture for mobile banking system

2008 1st IFIP Wireless Days ◽

10.1109/wd.2008.4812913 ◽

2008 ◽

Cited By ~ 8

Author(s):

C. Narendiran ◽

S. Albert Rabara ◽

N. Rajendran

Keyword(s):

Performance Evaluation ◽

Banking System ◽

Security Architecture ◽

Mobile Banking ◽

End To End

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MOBILE BANKING SYSTEM DEVELOPMENT USING NEAR FIELD COMMUNICATION TECHNOLOGY WITH ANDROID-BASED OPERATING SYSTEM

JURNAL TEKNIK INFORMATIKA ◽

10.15408/jti.v13i1.15731 ◽

2020 ◽

Vol 13 (1) ◽

pp. 43-50

Author(s):

Bisri Nursa Fadillah ◽

Dewi Khairani ◽

Nurul Faizah Rozi

Keyword(s):

Communication Technology ◽

System Development ◽

Near Field ◽

Banking System ◽

Internet Banking ◽

Acceptance Testing ◽

Near Field Communication ◽

Mobile Banking ◽

Application Development ◽

Literature Study

Development of information technology (IT) is used to support business sector, including banking. One of them, banking uses IT to improve the quality of service in the form of internet banking and mobile banking. Therefor, the research focused on development of mobile banking system using Near Field Communication (NFC) technology as client authentication and security system. Features on mobile banking system are checking balance information, mutation, electricity bill, a fellow bank transfer and transfers between Bank that has been working with ATM Bersama, as well as payment of electricity bills. System development using JAVA programming language with Android Studio tools, to access server using PHP with MySQL as database management, IdWebHost as hosting services, as well as data output using JSON format. Data collection method is done with interview stage and literature study. Researcher uses system development methods of Rapid Application Development (RAD), while testing using unit testing and user acceptance testing. Result of the study is secure mobile banking system utilizing Near Field Communication technology, PIN, and AES encryption.

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IDENTIFICATION AND IMPLEMENTATION OF DESIGN PATTERNS IN MOBILE BANKING

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v6i2.3500 ◽

2013 ◽

Vol 6 (2) ◽

pp. 343-350

Author(s):

M. Hemalatha ◽

A. Vikneshraj ◽

N. Adithya Prasanna

Keyword(s):

Design Patterns ◽

Banking System ◽

Object Oriented Programming ◽

Second Step ◽

Navigation Systems ◽

Mobile Banking ◽

Software Developers ◽

Identification Process ◽

Software Design Patterns ◽

Maintainability Analysis

The aim of this paper is to develop a mobile banking system using design patters that provides customers with the facility to check their accounts and to do online transactions using mobile phones. There are various number of software design patterns that have been identified and used by software developers in various domains such as navigation systems, e-commerce, data mining, construction of operating systems, e-business, games and website designing and development purpose. In order to achieve our aim we are going to follow three steps. First step is the identification process, in this process we are going to study the various design patterns and the existing architecture of several mobile banking systems and will identify the design patterns based on the cross cutting concerns that occur in flow of the banking process. The second step is to implement the identified design patterns using the patterns skeleton code. We need to improve the reusability using object oriented programming. Finally we are going to implement the identified patterns and evaluate the patterns using already available methods such as SAAM, ATAM, ALAM (Architecture-Level Maintainability Analysis).

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Behavioral Intention Towards Mobile Banking in India

Mobile Opportunities and Applications for E-Service Innovations ◽

10.4018/978-1-4666-2654-6.ch006 ◽

2013 ◽

pp. 98-118

Author(s):

N. Thamarai Selvan ◽

B. Senthil Arasu ◽

M. Sivagnanasundaram

Keyword(s):

Technology Acceptance ◽

Structural Equation ◽

Banking System ◽

Mobile Technologies ◽

Equation Modeling ◽

Mobile Banking ◽

Intention To Adopt ◽

Mobile Access ◽

Study Support ◽

Acceptance Model

The rapid growth of mobile technologies and devices makes it possible for the customers of banking services to conduct banking at any place and at any time. Today, most of the banks in the world provide mobile access to its customers for banking as mobile banking systems improve their efficiency and reduce transaction costs. Banks invested heavily in the mobile banking system hoping that its customers would embrace it with open arms. Contrary to the expectation, the lukewarm patronage to mobile banking makes it crucial to understand the factors that contribute to users’ intention to use mobile banking. This study extends the applicability of technology acceptance model (TAM) to the mobile banking context. Based on the review of literature, few additional constructs were added to the TAM. Structural equation modeling (SEM) was used to test the casual relationships proposed. Findings of the study support the proposed model’s ability of explaining the users’ intention to adopt mobile banking.

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