• Convergence Security Journal
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• v.5 no.1
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• pp.63-74
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• 2005

Security products were developed and diffused for defense all emergency on cyberspace on E-commerce, but it requires special technique of information security in maintenance. The operation and need of security system was required in a public corporation and company, but it isn't provided in an appropriate time. Therefore, the domestic sites were vulnerable by security vulnerability. In this paper, we propose on the design and implementation of the data integrity analysis system that a novice manage usefully and automatically for management of E-commerce security products.

• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.269-274
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• 2021

Businesses and manufacturing have benefited from the evolution of digital information technology. The introduction of e-commerce has changed the way companies are conducted, and the manufacturing industry is using emerging technologies to automate and synchronize production processes in order to increase productivity and profitability. The results of the study show that incorporating the internet into e-commerce has transformed the process, making it one of the most advanced and high users of digital technology. E-commerce has advanced by leaps and bounds, allowing products and services to flow electronically with minimal delays. Manufacturing has benefited from the implementation of IoT, which has increased the productivity of production processes and is gradually becoming a major beneficiary of modern computer technology.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.214-222
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• 2021

Recently, the growth of e-commerce in Saudi Arabia has been exponential, bringing new remarkable challenges. A naive approach for product matching and categorization is needed to help consumers choose the right store to purchase a product. This paper presents a machine learning approach for product matching that combines deep learning techniques with standard artificial neural networks (ANNs). Existing methods focused on product matching, whereas our model compares products based on unstructured descriptions. We evaluated our electronics dataset model from three business-to-consumer (B2C) online stores by putting the match products collectively in one dataset. The performance evaluation based on k-mean classifier prediction from three real-world online stores demonstrates that the proposed algorithm outperforms the benchmarked approach by 80% on average F1-measure.

• 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.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.193-197
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• 2021

Customers are increasingly attracted towards different e-commerce websites and applications for the purchase of products significantly. This is the reason the sellers are moving to different internet based services to sell their products online. The growth of customers in this sector has resulted in the use of big data analytics to understand customers' behavior in predicting the demand of items. It uses a complex process of examining large amount of data to uncover hidden patterns in the information. It is established on the basis of finding correlation between various parameters that are recorded, understanding purchase patterns and applying statistical measures on collected data. This paper is a document of the bottom-up strategy used to manage the selling price of a first-time product for maximizing profit while selling it online. It summarizes how existing customers' expectations can be used to increase the sale of product and attract the attention of the new customer for buying the new product.

• 한국경영정보학회:학술대회논문집
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• 2007.11a
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• pp.571-576
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• 2007

Advanced online environment and communication technology have made the e-commerce environments evolved rapidly. In the e-commerce area, one of the most important concepts regarding the relationship between seller and buyer is the "trust." Considering the purpose of purchase and satisfaction of website, the users may face problems such as consumer's transaction security or personal information sharing when they make transactions over web sites. It could be difficult to pursue the goal for the users to purchase product or service over online if the seller or service provider cannot establish trust to the customers. In this paper, through multi-dimensional viewpoints of trust, satisfaction can be accounted for by cue-based trust and experienced trust. The purchase intention mediates the experienced trust when online users purchase products or use online service.

• Proceedings of the IEEK Conference
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• summer
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• pp.47-51
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• 2004

In this paper we propose a fair and secure e-commerce model for P2P network, in which communication entities can buy and sell products by P2P contract. In particular, we focus on a fair transaction protocol that is based on a collaboration with distributed communication entities. This feature makes our model very attractive in P2P networking environment which does not depend on any central trusted authority for managing communication entities.

• Journal of Korea Multimedia Society
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• v.6 no.3
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• pp.469-480
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• 2003

The accurate user- authentication technology is being raised as one of the most important in this current society, which is, so called, information society. Most authentication technology is used to identify users by using the special characteristics of users. This paper has established an e-commerce shopping mall based on conventional e-commerce systems. It also suggested and established the user authentication interface that uses the mouse gesture, which is the new authentication of what users have. The user authentication interface using the mouse gesture generates the status of recognition directly on the screen by comparing the stored pattern values with the unique pattern values that users entered. When users purchase products through the shopping mall and enter their another signature information together with payment information, security can be more increased. Experimental results show that our mouse gesture interface may be useful to provide more security to e-commerce server.

• Proceedings of the KAIS Fall Conference
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• 2005.05a
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• pp.108-110
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• 2005

Most of the evaluation systems have performed evaluation with an emphasis on information security products so far. However, evaluating information security level for an enterprise needs analysis of the whole enterprise organization, and a synthetic and systematic evaluation system based on it. This study has tried to grasp the information security level of the whole enterprise organization, and develop an evaluation system of information security level for suggesting a more developing direction of information security.

• The International Journal of Costume Culture
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• v.3 no.3
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• pp.201-211
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• 2000

The purpose of this study is to pinpoint currently arising issues concerning cyber fashion mall by analysing present status and contents of its web design, management and planning within the limits o business to customer (B2C) commerce, and to suggest a direction for building an ideal fashion mall on the internet. As for the study method, conceptual definitions were given based on previous studies. And a positive study was implemented, in which the cases of 23 chosen cyber fashion malls among 60 or so domestic and foreign malls selling fashion products were found by internet search engines and analysed. Results of the case analysis of cyber fashion malls are as follows : 1) cybermall must provide customers with an integrated service as well as e-commerce. 2) various products assortment and price differentiation must be developed, 3) the techniques of graphics, coloring and texturing, and layout design must be adopted to process and express product information, 4) the legislative system is needed to deal with the security, and 5) design and management of customer oriented interface are needed to process and express product information matter of electronic payment and customer protection. Considering the issues in internet fashion cybermalls, are suggested the important factors that are necessary or web design, planning and management to build an ideal cyber fashion mall. These results will contribute to the development of fashion e-commerce.