• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.4
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• pp.637-659
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• 2021

Since the creation of the first Bitcoin blockchain in 2009, the number of cryptocurrency users has steadily increased. However, the number of hacking attacks targeting assets stored in these users' cryptocurrency wallets is also increasing. Therefore, we evaluate the security of the wallets currently on the market to ensure that they are safe. We first conduct threat modeling to identify threats to cryptocurrency wallets and identify the security requirements. Second, based on the derived security requirements, we utilize attack trees and Bayesian network analysis to quantitatively measure the risks inherent in each wallet and compare them. According to the results, the average total risk in software wallets is 1.22 times greater than that in hardware wallets. In the comparison of different hardware wallets, we found that the total risk inherent to the Trezor One wallet, which has a general-purpose MCU, is 1.11 times greater than that of the Ledger Nano S wallet, which has a secure element. However, use of a secure element in a cryptocurrency wallet has been shown to be less effective at reducing risks.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.254-266
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• 2020

The purpose of this study is to analyze the influence of the type of recommender system on consumer's perceived benefit and privacy risk. The result showed that the perceived usefulness and intension to click was high in the order of Hybrid-filtering, Bestseller, and SNS-based system. Privacy concern was high in order of SNS-based system, Hybrid-filtering, and Bestseller. Moderating effects of perceived personalization on the type of recommender system and perceived usefulness were significant. Finally perceived usefulness had positive effect, and privacy concern had negative effect on consumer's intension to click. This study has significant implications for digital marketing bt comparing consumer responses according to the type of recommended service. The result of this study can be helpful for providing and developing future recommender service.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.3
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• pp.665-679
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• 2018

With the development of information and communication technology, especially wireless Internet technology and the spread of smart phones, digital data has increased. As a result, privacy issues which concerns about exposure of personal sensitive information are increasing. In this paper, we analyze the privacy vulnerability of online big data in domestic internet environment, especially focusing on portal service, and propose a measure to evaluate the possibility of privacy violation. For this purpose, we collected about 50 million user posts from the potal service contents and extracted the personal information. we find that potal service user can be identified by the extracted personal information even though the user id is partially anonymized. In addition, we proposed a risk measurement evaluation method that reflects the possibility of personal information linkage between service using partial anonymized ID and personal information exposure level.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.4
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• pp.679-691
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• 2020

In the future, 5G technology will become the core infrastructure driving the 4th industrial era. For intelligent super-convergence service, it will be necessary to collect various personal information such as location data. If a person's high-precision location information is exposed by a malicious person, it can be a serious privacy risk. In the past, various approaches have been researched through encryption and obfuscation to protect location information privacy. In this paper, we proposed a new technique that enables statistical query and data analysis without exposing location information. The proposed method does not allow the original to be re-identified through polynomial-based transform processing. In addition, since the quality of the original data is not compromised, the usability of positioning big data can be maximized.

• Journal of the Korea Convergence Society
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• v.11 no.7
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• pp.145-150
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• 2020

It needs to explain the relationship between influencers and consequences to use continuity of social media. To address this question, we have developed an framework and made hypotheses to explicate and analyze influencers(social presence, perceived privacy risk, perceived enjoyment, commitment, and community identification) to the attitude and continuity of social media. To test empirically, data collected from on and line survey and resolved by structural equation model. We found that social presence, perceived enjoyment and commitment influence to the attitude and continuity of social media. Finally, the theoretical and practical implications of theses results are discussed also research limitation and future research directions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.4
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• pp.1059-1074
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• 2024

The paper is an attempt to study the individual's intention to use mobile banking. In light of the results obtained from the study, the proposed model offers a better fit with the data and explains the intention of individuals to use mobile banking services. Government support, trust, and compatibility significantly contribute to the Perceived behavioral control of a bank customer to use mobile banking while Perceived ease of use, Perceived usefulness, Security and privacy, and risk have a significant positive impact on the attitude of the individuals to utilize mobile banking service. The study uses primary data and the final instrument was administered to 950 respondents, across the country of which 904 data were used for the analysis after editing to accommodate the missing values. The study has adopted structural equation modeling approach to analyze the relationships between the variables in the study. The proposed framework in this study can be utilized to identify the factors that promote the adoption of mobile banking practices and the study also has the potential to provide updated and comprehensive literature on mobile banking, which can accelerate future research in this field.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.6
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• pp.37-42
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• 2015

Although online search engine service provide a convenient means to search for information on the World Wide Web, it also poses a risk of disclosing privacy. Regardless of such risk, most of users are neither aware of their personal information being exposed on search results nor how to redress the issue by requesting removal of information. According to the 2015 parliamentary inspection of government offices, many government agencies were criticized for mishandling of personal information and its leakage on online search engine such as Google. Considering the fact that the personal information leakage via online search engine has drawn the attention at the government level, the online search engine and privacy issue needs to be rectified. This paper, by examining current online search engines, studies the degree of personal information exposure on online search results and its underlying issues. Lastly, based on research result, the paper provides a sound policy and direction to the removal of exposed personal information with respect to search engine service provider and user respectively.

• Informatization Policy
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• v.21 no.2
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• pp.49-66
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• 2014

In the last few years, cloud computing has grown from being a promising business concept to one of the fast growing segments of the IT industry. However, as more and more information on individuals and companies are placed in the cloud, concerns on just how safe the computing environment is have gradually increased. In this study, it will be explored if key characteristics of cloud computing services would affect the behavioral intention to use public cloud computing services. A conceptual model is developed and seven research hypotheses are proposed for empirical testing. The proposed model is examined through structural equation analysis. The results show that perceived risk has statistically significant effect on the privacy concern of users and the privacy concern has a negative influence on the trust. Finally, the trust has a positive effect on the attitude and the attitude has statistically significant effect on use intention. Implications of these findings are discussed for both researchers and practitioners and future research issues are raised as well.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.7
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• pp.1247-1257
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• 2001

The objectives of the study were to examine apparel purchasing behavior in internet shopping malls and the level of perceived risk when internet users purchase online. For this research, 15,000 internet users were given questionaries via E-mail, or special website online. The sum of 1958 questionaries were used for statistical analyses. Using, SAS package, factor analysis, Crobach's ${\alpha}$, t-test, $\chi$$^2$-test, frequency and multi-response analysis were performed. As the results, 19% out of internet users had bought apparel products through internet shopping malls. Men had more purchasing experiences in apparels as well as general products than women. Among apparel products, T-shirts/shirts were purchased the most by internet shoppers. For perceived risks, 6 factors(quality risk, time/convenience risk, size and appearance risk, privacy risk and social/psychological risk) were investigated for this study. The level of perceived risk was lower when people had a purchasing experience in internet shopping mall than when they didn't. The level of perceived risk was lower when people had purchasing intend about apparels than when they didn't. Based on these results, marketing strategies will be suggested.

• International Journal of Contents
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• v.14 no.4
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• pp.18-23
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• 2018

Recently, the developments in IT technology and the spread of smart phones have made Fin-Tech, which is a combination of financial services and IT technology, a big issue. In accordance with the growth trend of mobile payments in the world, all financial transactions in Korea are gradually shifting to smart phones. In fact, mobile payment system services are not widely used by users. In particular, the risk factors involved when users want to use the service are one of the factors that hinder the expansion of the usage of mobile financial payment service. The risk factors affect the trust of the mobile payment system users. Therefore, this study investigates the risk factors of the mobile payment system and the manner in which it affects a user's trust. We have also examined as how user's trust affects trust in the quality of the mobile payment system. To this end, the trust in overall quality of use was largely divided into trust in system quality, trust in information quality, and trust in service quality. Perceived finance risk, perceived performance risk, and perceived privacy risk have negative effects on cognitive trust. However, perceived time risk did not affect cognitive trust. User's cognitive trust also has an effect on trust in quality.