• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.10B
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• pp.938-946
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• 2003

Studies of Internet algorithms or policies require experiments on the real large-scale networks. But practical problems with large real networks make them difficult. Instead many researchers use simulations on the Internet topology models. Some tried to find out abstract topological properties of Internet. And several models are proposed to reflect Internet's topological characteristics better. But few studies have been performed on how to model the evolution of Internet. We propose algorithms for modeling addition and removal of nodes and accompanied change of topologies. We analyze the topologies generated by our algorithms to observe that they obey the power-laws better than those generated by existing ones. These algorithms are also expected to be helpful in predicting future topologies of Internet.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.26-36
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• 2021

The Internet was created as a decentralized and autonomous system of interconnected computer networks used for data exchange across mutually trusted participants. The element technologies on the Internet, such as inter-domain and intra-domain routing and DNS, operated in a distributed manner. With the development of the Web, the Web has become indispensable in daily life. The existing web applications allow us to form online communities, generate private information, access big data, shop online, pay bills, post photos or videos, and even order groceries. This is what has led to centralization of the Web. This centralization is now controlled by the giant social media platforms that provide it as a service, but the original Internet was not like this. These giant companies realized that the decentralized network's huge value involves gathering, organizing, and monetizing information through centralized web applications. The centralized Web applications have heralded some major issues, which will likely worsen shortly. This study focuses on these problems and investigates blockchain's potentials for decentralized web architecture capable of improving conventional web services' critical features, including autonomous, robust, and secure decentralized processing and traceable trustworthiness in tamper-proof transactions. Finally, we review the decentralized web architecture that circumvents the main Internet gatekeepers and controls our data back from the giant social media companies.

• The Journal of Korean Society for School & Community Health Education
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• v.5
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• pp.11-23
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• 2004

The purpose of this study was to analyze the internet usage patterns among adolescents and to provide basic data for the development of internet addiction prevention program. The subjects of this study were 1169 students in middle and high school students in Seoul, Korea. Self-administered questionnaires were employed and data were analysed by SPSS 12.0. Major conclusions were as follows: 1. Most of the students were found to be the normal internet users. On the other hand, potential risk group was 8.2% and high risk group was 4.7%. Every students have had an experience of inter use. The 90.6% of the students' households had internet links. The percentage of students who were using internet more than 3 hours a day was 25.7%, and The most popular type of website was entertainment. 2. Male students showed greater percentages of potential risk and high risk group than female students. The students having parents in divorce, remarriage and separation were more likely to be in potential risk group than those having normal parents. The staying alone in home after school and small sleeping time were positively related to high level of internet addiction. 3. The characteristics of the students in potential risk and high risk group were longer duration of the internet use, internet use through the whole week, frequent internet use late at night, frequent use of pornographic site, main purpose of internet use for entertainment and shortage of rest during internet use. This study results had an limitation of generalizing to entire Korean adolescents because the sample of this study was middle and high school students living in Seoul. Future study was needed for the analysis of internet use behavior of the entire Korean adolescents, and for the identification of the accurate predictors for adolescents' internet addiction.

• Management & Information Systems Review
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• v.4
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• pp.349-374
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• 2000

With rapid advances on Interactive technology, and the growing popularity of the Internet, Internet shopping receives considerable attention in both the popular-press and academic journals. The Internet has enormous commercial possibilities. But it is a new and dynamic medium that poses special challenges for marketers. The revolutionary nature of the Internet mandates that established wisdom on consumer marketing along with marketing-mix strategies has to be reexamined and perhaps radically revised. In order to assist marketers in this endeavor it is critical to understand consumers' buying behaviors of Internet shopping. But research in this area still very much its infancy. This study examined previous researches of Internet shopping and developed conceptual framework of Internet shopping modes. Additionally, this study examined empirical investigation of Internet shopping. Preliminary results suggests that there are significant differences in individuals' perceptions of Internet shopping and traditional shopping modes. Various factors influences on consumers' buying behavior on Internet shopping. There are Individuals' factors(personality, lifestyle, prior experience, perceived risk etc), shopping mall factors(trust, vividness, security, promotion, etc), product characteristics(product category, brand, etc), situational factors(time pressure, locational constraints etc), social/cultural factors(Norms, importance of other peoples etc). Additionally, We conducted empirical study of the impact of the Internet on consumer shopping behavior. We gathered consumers' reactions via an open-ended survey using a sample of 90 shoppers. We related the reactions to the factors of consumers' satisfaction or dissatisfaction of the Internet shopping. Consequently, there are many questions regarding factors that might influence Internet shopping. From theoretical and practical perspectives, studies that examine these factors would seem to offer much to the discipline. This paper has attempted th provide insights and direction of future empirical examination of Internet shopping.

• Proceedings of the Technology Innovation Conference
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• 1999.12a
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• pp.296-327
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• 1999

Nowadays, there is a huge need of an extensive study to understand features and behavior modes of consumers who have an indefinite potential of purchase and to make EC a bullish market, Recently, the flow construct has been proposed as important for understanding consumer behavior on the cyber space. The purpose of this study is threefold. To investigate (1) the effect of the flow experience when navigating Internet shopping-mall sites and Internet on purchase intention and relational factors of this (2) the difference in the flow experiences between during the time of navigating Internet and during the time of navigating Internet shopping-mall sites. (3) the difference in purchase intention and relational factors of this between an experiential flow and a purposeful flow. The results show that (1) increase of the purchase intention on EC (or relational factors of this) in proportion to the degree of cognition of users' flow experience (2) By the separate motive of searching Internet shopping-mall sites, the flow experiences during the time of navigating Internet lead to different results (3) Although the difference in the purchase intention on EC between subjects is nonsignificant, it suggests that we need to focus on the fact that the correlation between the purchase intention on EC and the purposeful flow experience on Internet shopping-mall sites is greater than any other correlation. In the end of this study, The theoretical and practical implications of the study, limitations of the study, and future research implications are discussed.

• Journal of Internet Computing and Services
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• v.18 no.2
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• pp.31-42
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• 2017

As Internet banking service became popular, many users can exchange goods by online. Even though this advantage, there are incident cases in the Internet banking service due to security threats. In order to counteract this problem, various security techniques have been applied over whole area in the Internet banking service. Therefore, we described that analyzed results of security techniques applied in the financial institutions area and network communication area in this paper. We consider that this paper will be useful as a reference to protect security threats occurred by insiders and vulnerabilities in implementation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.1
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• pp.1-12
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• 2015

This paper discusses current internet interconnection issues according to radical changes of internet traffic pattern. In this context, the recovery of network investment cost for network provider becomes hot issue. For recovery issues of investment cost, there are many disputes among stake holders. Therefore, it is necessary to investigate this issues in the context of internet interconnection. Also, it is important to develop the current regulation about internet interconnection under traffic changing environments. This paper selects four issues to deal with and analyzes the present situations and problems about these issues, and provides alternatives for internet interconnection corresponding to these four issues.

• Proceedings of the CALSEC Conference
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• 2005.11a
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• pp.147-153
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• 2005

When a customer wants to buy an item at the Internet shopping mall, one of the difficulties is to decide when to buy the item because its price changes over time. If the shopping mall can be able to recommend appropriate buying points, it will be greatly helpful for the customer. Therefore, in this presentation, we propose a method to recommend buying points based on the time series analysis using a database that contains past prices data of items. The procedure to provide buying points for an item is as follows. First, we search past time series patterns from the database using normalized similarity, which are similar to the current time series pattern of the item. Second, we analyze the retrieved past patterns and predict the future price pattern of the item. Third, using the future price pattern, we recommend when to buy the item.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.10
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• pp.1712-1732
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• 2011

Cloud provides dynamically scalable virtualized computing resources as a service over the Internet. To achieve higher resource utilization over virtualization technology, an optimized strategy that deploys virtual machines on physical machines is needed. That is, the total number of active physical host nodes should be dynamically changed to correspond to their resource usage rate, thereby maintaining optimum utilization of physical machines. In this paper, we propose a pattern-based prediction model for resource provisioning which facilitates best possible resource preparation by analyzing the resource utilization and deriving resource usage patterns. The focus of our work is on predicting future resource requests by optimized dynamic resource management strategy that is applied to a virtualized data center in a Cloud computing environment. To this end, we build a prediction model that is based on user request patterns and make a prediction of system behavior for the near future. As a result, this model can save time for predicting the needed resource amount and reduce the possibility of resource overuse. In addition, we studied the performance of our proposed model comparing with conventional resource provisioning models under various Cloud execution conditions. The experimental results showed that our pattern-based prediction model gives significant benefits over conventional models.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.325-327
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• 2022

최근 스마트 기기 시장이 커지며 이와 함께 스마트 기기를 이용한 연구가 활발하다. 현재 많이 사용되는 스마트 기기인 스마트워치와 스마트폰에는 다양한 센서들이 내장되어있다. 이 센서들을 통해 생성된 데이터를 이용하면 사용자의 행동 분류, 건강관리 등 사용자에게 도움이 되는 서비스를 제공할 수 있다. 본 논문에서는 어플리케이션 개발을 통해 상용 스마트기기인 갤럭시 워치 4와 갤럭시 S10에 내장되어있는 센서의 원시데이터를 수집하고 수집한 데이터를 oneM2M 표준 플랫폼에 저장하였다. oneM2M 표준 플랫폼에 저장된 데이터는 API를 통해 손쉽게 사용할 수 있으며 여러 대의 스마트 기기 데이터를 수집하고 빅데이터를 구축한다면 많은 연구자들이 보다 편리하게 데이터를 이용하여 다양한 의미 있는 연구들을 진행할 수 있을 것이다.