• Asia pacific journal of information systems
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• v.26 no.2
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• pp.290-298
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• 2016

Human cognition and decision-making related to information systems (IS) is a major area of interest in IS research. Among these areas, cognitive bias rooted in behavioral economics is gaining considerable attention from researchers. In the present study, we identify the role of cognitive biases and discuss how they shape the information security behavior. We also seek research opportunities to provide directions and implications for future research.

• Journal of Convergence Society for SMB
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• v.6 no.2
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• pp.19-24
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• 2016

A Study on the Information Security System of Fin-Tech Business In traditional electronic commerce, there have not been severe issues of trading information through documents in paper or the closed EDI. The scale of e-commerce has increased as internet develops, however, turning to the online e-commerce, which caused a number of issues such as authentication, information forgery, and non-repudiation between the parties. To prevent conflicts from such troubles and perform the post management, security technologies are applied throughout the process of e-commerce, certificates intervening. Lately, meanwhile, FinTech has been creating a sensation around the mobile payment service. Incidents of information leakage from card corporations and hackings imply the need of securing safety of the financial service. Development and evolution of FinTech industry must be accompanied by information protection. Therefore, this research aims to inquire into the information security system of leading FinTech company in a foreign country.

• International Commerce and Information Review
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• v.7 no.3
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• pp.135-156
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• 2005

The rapidly developed environment by ubiquitous computing make the paradigm from e-trade to u-trade. The purpose of the study is to find out issue and the strategic suggestions that could link together between the e-trade and ubiquitous computing in side of information security. The study include the contents as follows; firstly, the technical explanations under the ubiquitous computing, secondly, e-trade's risks in security technology and lastly, issue and strategic suggestions how link them together in integrated view.

• Journal of Advanced Navigation Technology
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• v.14 no.1
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• pp.27-32
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• 2010

In this paper, we research a virtual card generation system to secure e-commerce. Network security has increased the need to meet rapidly growing trend. And the amount and quality of e-commerce expansion due to the need for secure commerce transactions has increased even more. Instead of exposing the actual credit card number, we expose a virtual card number on the network. It can prevent the risk of hacking. We proved that through various experiments.

• The KIPS Transactions:PartC
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• v.8C no.5
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• pp.551-556
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• 2001

The ESES system has been developed to supply a digital signature function, an encryption function, and a library of cryptographic primitives and algorithm for securing an XML document and the existing non-XML documents that are exchanged in the electronic commerce. In this paper, we will introduce the overview of ESES system and explain how the ESES processes to offer security services Finally we\`ll conclude our talk by presenting the summary and further works.

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.190-198
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• 2023

To enhance customer satisfaction for higher profits, an e-commerce sector can establish a continuous relationship and acquire new customers. Utilize machine-learning models to analyse their customer's behavioural evidence to produce their competitive advantage to the e-commerce platform by helping to improve overall satisfaction. These models will forecast customers who will churn and churn causes. Forecasts are used to build unique business strategies and services offers. This work is intended to develop a machine-learning model that can accurately forecast retainable customers of the entire e-commerce customer data. Developing predictive models classifying different imbalanced data effectively is a major challenge in collected data and machine learning algorithms. Build a machine learning model for solving class imbalance and forecast customers. The satisfaction accuracy is used for this research as evaluation metrics. This paper aims to enable to evaluate the use of different machine learning models utilized to forecast satisfaction. For this research paper are selected three analytical methods come from various classifications of learning. Classifier Selection, the efficiency of various classifiers like Random Forest, Logistic Regression, SVM, and Gradient Boosting Algorithm. Models have been used for a dataset of 8000 records of e-commerce websites and apps. Results indicate the best accuracy in determining satisfaction class with both gradient-boosting algorithm classifications. The results showed maximum accuracy compared to other algorithms, including Gradient Boosting Algorithm, Support Vector Machine Algorithm, Random Forest Algorithm, and logistic regression Algorithm. The best model developed for this paper to forecast satisfaction customers and accuracy achieve 88 %.

• Proceedings of the CALSEC Conference
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• 2001.02a
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• pp.305-311
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• 2001

Recently, XML(extensible Markup Language) Document is widely accepted as the standard for electronic documents in the electronic commerce. Therefore, a security mechanism for XML documents must be provided In the first place. ESES(ETRI Secure I-commerce Services) provides a system designed specifically for securing XML documents and existing non-XML documents that are exchanged in the Electronic Commerce and is essential to various electronic commerce platform as a fundamental system. In this paper, we provide an overview of these aspects of the ESES and design and implemented the secure I-Commerce Platform to support security services such as authentication, integrity and confidentiality for Electronic Document Interchange.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.3
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• pp.1231-1245
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• 2015

People have transferred their business model from traditional commerce to e-commerce in recent decades. Both shopping and payment can be completed through the Internet and bring convenience to consumers and business opportunities to industry. These trade techniques are mostly set up based on the Secure Sockets Layer (SSL). SSL provides the security for transaction information and is easy to set up, which makes it is widely accepted by individuals. Although attackers cannot obtain the real content even when the transferred information is intercepted, still there is risk for online trade. For example, it is impossible to prevent credit card information from being stolen by virtual merchant. Therefore, we propose a new mechanism to solve such security problem. We make use of the disposable dynamic security code (DSC) to replace traditional card security code. So even attackers get DSC for that round of transaction, they cannot use it for the next time. Besides, we apply visual secret sharing techniques to transfer the DSC, so that interceptors cannot retrieve the real DSC even for one round of trade. This way, we can improve security of credit card transaction and reliability of online business. The experiments results validate the applicability and efficiency of the proposed mechanism.

• International Journal of Computer Science & Network Security
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• v.23 no.11
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• pp.53-58
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• 2023

The trend of satisfying consumer needs (payment for mobile communication, music services, cab ordering, banking products, and food delivery) on a unified online platform has shaped a digital ecosystem, an instrument creating a unified space of economic interaction. Representatives of e-commerce are major stakeholders in the development of such tools. In particular, subscription services (multiservice subscriptions) allow users to create their own ecosystems based on their personal preferences. The rate of subscription service use is growing around the world, yet understanding of the peculiarities of development of this e-commerce sphere is limited due to insufficient research.The study aims to determine the motives and barriers to the use of subscription services (multiservice subscriptions) by consumers and their relationship with consumer characteristics.Proceeding from an online survey of 200 users, the study determines the relationship between the gender and income of consumers and their use of subscription services, motives and motivators for using subscription services, and barriers to the choice of a particular subscription service. The obtained results may serve as a basis for managerial decisions in e-commerce and for improving the effectiveness of marketing solutions.

• Proceedings of the CALSEC Conference
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• 2003.09a
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• pp.261-267
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• 2003

This study deals with controversial issues surrounding the today′s cyber-taxation and recommends feasible consumption tax system architecture titled Global Electronic Tax Invoice System (GETI). The GETI is an electronic consumption tax architecture to provide "all-in-one" tax and e-payment services through a trusted third party (TTP). GETI is designed to streamline the overall cyber-taxation process and provide simplified and transparent tax invoice services through an authorized np. To ensure information security, GETI incorporates public Key infrastructure (PKI) based digital certificates and other data encryption schemes when calculating, reporting, paying, and auditing tax in the electronic commerce environment. GETI is based on the OECD cyber-taxation agreement that was reached in January 2001, which established the taxation model for B2B and B2C electronic commerce transactions. For the value added tax systems, tax invoice is indispensable to commerce activities, since they provide documentations to prove the validity of commercial transactions. As paper-based tax invoice systems are gradually phased out and are replaced with electronic tax invoice systems, there is an increasing need to develop a reliable, efficient, transparent, and secured cyber-taxation architecture. To design such architecture, several desirable system attributes were considered -- reliability, efficiency, transparency, and security. GETI was developed with these system attributes in mind.