• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.17 no.12
• /
• pp.3398-3415
• /
• 2023

Internet-of-Things (IoT) is an emerging technology that interconnects millions of small devices to enable communication between the devices. It is heavily deployed across small scale to large scale industries because of its wide range of applications. These devices are very capable of transferring data over the internet including critical data in few applications. Such data is exposed to various security threats and thereby raises privacy-related concerns. Even devices can be compromised by the attacker. Modern cryptographic algorithms running on traditional machines provide authentication, confidentiality, integrity, and non-repudiation in an easy manner. IoT devices have numerous constraints related to memory, storage, processors, operating systems and power. Researchers have proposed several hardware and software implementations for addressing security attacks in lightweight encryption mechanism. Several works have made on lightweight block ciphers for improving the confidentiality by means of providing security level against cryptanalysis techniques. With the advances in the cipher breaking techniques, it is important to increase the security level to much higher. This paper, focuses on securing the critical data that is being transmitted over the internet by PRESENT using key-based dynamic S-Box. Security analysis of the proposed algorithm against other lightweight block cipher shows a significant improvement against linear and differential attacks, biclique attack and avalanche effect. A novel key-based dynamic S-Box approach for PRESENT strongly withstands cryptanalytic attacks in the IoT Network.

• Journal of the Korean Data and Information Science Society
• /
• v.19 no.3
• /
• pp.761-774
• /
• 2008

Agility is vital to real-time enterprises in comtemporary dynamic business environment. This study aims to investigate the relationships between traditional shipping and port logistics firms' customer agility obtained by adopting Internet business, and their corporate image and customer satisfaction. Using questionnaire data, factor analyses were used to figure out five major agility factors, corporate image factor, and customer satisfaction factor. The agility factors were then used to investigate how they improve the firms' corporate image and customer satisfaction. The results of the regression analyses show that agility factors significantly influence the firms' corporate image and customer satisfaction factors.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.25 no.3
• /
• pp.58-63
• /
• 2002

The Internet, as a commercial tool, presented a new market that connects producers with consumers through the E-commerce. Now, E-commerce spreads over almost all industries through the Internet excluding some. This research indicates the reason why the E-commerce is not activated in agricultural Industry, which is less developed than other industries. And it suggests a good example of E-commerce on the agricultural products combining on and off line markets. In addition, data-mining technique is suggested to analyze whole information in system.

• Korean Management Science Review
• /
• v.20 no.1
• /
• pp.89-102
• /
• 2003

With the progress of Internet and e-commerce, there have been many researches on the market efficiency of the Internet markets using real price data. Contrary to the common expectations by many economists, most of the previous researches have fatted to prove that the Internet market is more efficient than the conventional market. This paper empirically analyzes the pricing behavior of Internet and conventional retailers in South Korea. We have collected real price data on CDs and TVs from various types of retailers, from which we have analyzed three aspects of pricing behavior : price level, price change over time, and price dispersion across the retailers. We have found that the average prices of CDs and TVs at the Internet retailers are lower than those at the conventional retailers. We have also found that there is a close association between the behaviors (e.g., magnitude and timing of changes) of TV prices at the Internet retailers and those at the conventional retailers. It has been observed that the range of the CD prices at the internet retailers is less than a half of the range at the conventional retailers, which can be considered as an evidence of a relatively stronger price competition at the Internet market compared with the conventional market.

• Journal of Korean Biological Nursing Science
• /
• v.15 no.4
• /
• pp.173-183
• /
• 2013

Purpose: The purpose of this study was to compare the stress level and HPA axis activity of an internet game addiction group and non-addiction group in adolescents. Methods: A cross-sectional comparative study was performed with 140 male high school students from 9 vocational high schools at W city. Data were collected from July to September, 2012, using a questionnaire for measuring internet game addiction and stress level, blood samples for serum ACTH, and cortisol level for HPA axis activity. Data were analyzed using descriptive analysis, $X^2$-test, t-test, ANOVA, and Pearson correlation coefficient with SPSS/WIN 15.0. Results: The stress level of the internet game addicted group was significantly higher than that of the non-addicted group (p<.001). The serum cortisol level was also significantly higher in the internet game addicted group than in the non-addicted group (p<.026). The serum ACTH level was higher in the internet game addicted group more than in the non-addicted group (p<.072). Conclusion: These results showed that internet game addiction could increase stress level and HPA axis activity in high school adolescents. Thus, a nursing approach to prevent and relieve internet game addiction should be initiated to stabilize the HPA axis of internet game addicted adolescents.

• Journal of the Korean Society of Costume
• /
• v.57 no.9
• /
• pp.149-160
• /
• 2007

The purpose of this study was to investigate effects of service qualities and consumption emotion on consumer satisfaction of internet fashion shopping malls. Data were obtained from 304 internet fashion shopping mall consumers who have bought fashion products or visited an internet fashion shopping mall. Questionnaires related to service quality, consumption emotion, consumer satisfaction. For analysis of data, exploratory factor analysis, confirmatory factor analysis, path analysis were applied. The results were as follows: 1. The service quality dimensions of internet fashion shopping malls were reliability, merchandise variability, web-design, communication and safety. The consumption emotion dimensions were classified as positive emotion and negative emotion. 2. The service quality of internet fashion shopping malls and the consumption emotion had an effect on consumer satisfaction of internet fashion shopping malls. The dimensions of communication, merchandise variability of the service quality in internet fashion shopping malls had an effect on positive emotion. Safety, reliability of the service quality had an effect on negative emotion. Both positive emotion and negative emotion of the consumption emotion dimensions had an effect on consumer satisfaction of internet fashion shopping malls.

• Journal of the Korean Society of School Health
• /
• v.20 no.2
• /
• pp.47-57
• /
• 2007

Purpose: The purpose of this study is to find out the correlation between internet addiction and school adjustment of 3rd and 4th graders in elementary schools. Methods: The subjects were 689 graders from five schools in five districts, located in G, Korea and the data were collected ficxn April 18 to May 15, 2005. A scale consisting of 25 questions were developed as an instrument for testing internet addiction and a further 25 questions were developed for examining school Adjustment. The data was analyzed by testing frequency, percentage, means, standard deviation, t-test, ANOVA, Scheffe test and Pearson's Correlation using SPSS/PC 10.0. Results: The results were as follows: The degree of internet addiction tendency were 6.0% of addiction, 24.2% of borderline and 69.8% of non-addiction. There were significant differences in school adjustment in terms of the degree of internet addiction(F=39.88, p< .05) and significant negative correlation between the degree of internet addiction and the school adjustment; the more they used to the internet, the lower school adjustment they have(r=- .376, p< .05). Conclusion: Those graders who started using the internet at an earlier age, were found to have increased levels of internet addiction. therefore, it is necessary to develop a program for the prevention of intemet addiction and a school adjustment education program is recommended for that.

• Child Health Nursing Research
• /
• v.13 no.2
• /
• pp.157-165
• /
• 2007

Purpose: This study was done to investigate internet addiction, sexual attitudes and gender egalitarianism in middle school students, and to identify the differences of sexual attitude and gender egalitarianism according to the level of internet addiction. Method: The participants were 344 students from two middle schools in Seoul. Data were collected through self-report questionnaires which included an internet addiction test, a sexual attitude scale, and a Korean gender egalitarianism scale for adolescents. The data were analyzed using the SPSS program. Results: Of the students, 63.1% reported being average on-line users, 33.4%, heavy on-line users, and 3.5%, internet addicted. Sexual attitudes and gender egalitarianism of average on-line users were different from those addicted to the internet. Internet addiction, sexual attitudes and gender egalitarianism of students were different according to general characteristics, time spent on-line, and exposure and contact to cyber obscenities. Conclusion: Sexual attitudes and gender egalitarianism in middle school students were influenced by internet addiction. Therefore nursing interventions to prevent and manage internet addiction need to be developed and provided to middle school students. Also a variety of programs for teaching sexuality to adolescents should be developed.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.31 no.3 s.162
• /
• pp.410-419
• /
• 2007

The purposes of this study were to segment consumers by on-line word of month and to find the differences among the segmented groups in regard to fashion involvement, internet perceived risk, and internet purchase behavior. The subjects of this study were female consumers who were members of online cafe in Korea. The data were collected during October, 2004. The respondents returned the questionnaires through internet and 480 questionnaires were finally used in the data analysis. The statistical analyses used for the study were factor analysis, cluster analysis, t-test, and $X^2-test$. The results showed that word-of·mouth communication on internet(e-WOM) is composed of two factors, word-of-mouth transmission and word-of-mouth acceptance. These two factors were put under cluster analysis and were classified into two groups of the word-of·mouth communication: WOM group and non-WOM group. T-test showed that word-of-mouth communication groups were significantly different in regard to fashion involvement, internet perceived risk, and internet purchase behavior. For example, WOM group was more uncertain of their clothing choices, put more weight on the internal factors of clothing selection, and was a frequent purchaser of internet fashion products. Internet fashion business needs to implement the proper marketing strategies based on the results of the study.

• International Journal of Internet, Broadcasting and Communication
• /
• v.14 no.4
• /
• pp.11-19
• /
• 2022

Data mining has broad applications that reach beyond scholarly and scientific research and provide internet search engine services that are commonly used forms of Text and Data Mining('TDM') of websites. The exceptions and limitations for data mining provide a competitive advantage in the global race for policy innovation because it permits researchers to conduct computational analysis - TDM on any materials to which they have access. For this purpose, Japan and the EU added limitations on copyright to legalize some TDM research through amendments to copyright law, and the U.S. copyright law has allowed data mining by the fair use provision. On the other hand, there are no explicit exceptions and limitations for data mining under the Korean Copyright Act, and there are no cases considering data mining fair use. We review comparatively exceptions and limitations on copyright which will help to encourage AI-related business by using more data smoothly through the mining process and extracting more valuable information.