• Convergence Security Journal
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• v.20 no.2
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• pp.15-28
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• 2020

Smart City is highly anticipated to solve the problems of existing cities and create new added value, but there is also increasing concern about security risks. The negative view of smart city according to security risk awareness is a problem that needs to be improved in order to activate the fourth industrial revolution technology and develop smart city. This study examined risk factors in smart cities based on perceived risk and user resistance theory, and empirically analyzed the relationship with resistance attitudes. According to the empirical analysis with 288 research samples, security, social, and physical risk factors directly affect smart city resistance, while financial, performance, and privacy risk have no significant effect. In addition, it was verified that the security risk can is an antecedent factor for other risk factors, and it was confirmed that it is required to separately discuss the security and privacy risk in the smart city environment. This study shows that it is necessary to prepare policy supports for social interactions as well as security and physical safety issues in order to activate smart city by discussing the risk factors that negatively affect smart city perception from the public's point of view.

• Management & Information Systems Review
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• v.28 no.1
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• pp.125-156
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• 2009

The primary purpose of this study is to identify the determinants of the users' satisfaction and commitment in personal media. For these purposes, we developed a research model based on the literature reviews of personal media, perceived risk and interactivity, satisfaction, and commitment. This study has identified four dimensions in the concept of perceived risk, such as privacy risk, social risk, time loss risk, and economic risk, and three dimensions in the concept of perceived interactivity, such as active control, two-way communication, and responsiveness. In survey, data were collected from 428 male and female who have an experience in personal media. Data was analyzed factor analysis, reliability analysis, measurement model analysis, and structural model analysis by utilizing SPSS 15.0 and AMOS 5.0 program. Analysis results of research model indicate the following. Firstly, privacy risk, active control, two-way communication, and responsiveness are significantly related satisfaction. Secondly, privacy risk, time loss risk, economic risk, active control, and two-way communication are significantly related commitment. Thirdly, users' satisfaction has positive relationship with commitment in personal media. Based on these results, theoretical implications for relevant researchers and managerial implications for personal media vitalization and marketing strategy are discussed. Finally, limitations for this study and further research issues are suggested.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.11
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• pp.5731-5754
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• 2019

In this paper, we redesign, implement, and evaluate ShareSafe (Based on SecGraph), an open-source secure graph data sharing/publishing platform. Within ShareSafe, we propose De-anonymization Quantification Module and Recommendation Module. Besides, we model the attackers' background knowledge and evaluate the relation between graph data privacy and the structure of the graph. To the best of our knowledge, ShareSafe is the first platform that enables users to perform data perturbation, utility evaluation, De-A evaluation, and Privacy Quantification. Leveraging ShareSafe, we conduct a more comprehensive and advanced utility and privacy evaluation. The results demonstrate that (1) The risk of privacy leakage of anonymized graph increases with the attackers' background knowledge. (2) For a successful de-anonymization attack, the seed mapping, even relatively small, plays a much more important role than the auxiliary graph. (3) The structure of graph has a fundamental and significant effect on the utility and privacy of the graph. (4) There is no optimal anonymization/de-anonymization algorithm. For different environment, the performance of each algorithm varies from each other.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.185-187
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• 2015

Increasingly important user based service on the smart media era, and increasing awareness about the user experience. As the connected Internet information systems increases, one of the problems happening between users and information systems such as Internet shopping-malls, portal sites, and corporate web sites is related with the information privacy concerns issues. In this research, we aim to analyze factors influencing of the invasion of privacy on continue using intention in online environment. Based on these findings, several theoretical and practical implications were suggested and discussed. Thus, we have reviewed extensive previous studies on information privacy in local and foreign information systems, marketing and other fields. The purpose of this study is to provide future directions of studies on information privacy concerns by analyzing past and recent trends of the studies.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.149-150
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• 2015

Today, rapid evolution of information communication technology occurring in Korea has extensive influence on our daily life, and increasing awareness about the user experience. As the connected Internet information systems increases, one of the problems happening between users and information systems such as Internet shopping-malls, portal sites, and corporate web sites is related with the information privacy concerns issues. In this research, we aim to analyze factors influencing of the invasion of privacy on intention to use in e-commerce environment. Based on these findings, several theoretical and practical implications were suggested and discussed. Thus, we have reviewed extensive previous studies on information privacy in local and foreign information systems, marketing and other fields. The purpose of this study is to provide future directions of studies on information privacy concerns by analyzing past and recent trends of the studies.

• Journal of Information Processing Systems
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• v.19 no.6
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• pp.767-777
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• 2023

In modern society, user privacy is emerging as an important issue as closed-circuit television (CCTV) systems increase rapidly in various public and private spaces. If CCTV cameras monitor sensitive areas or personal spaces, they can infringe on personal privacy. Someone's behavior patterns, sensitive information, residence, etc. can be exposed, and if the image data collected from CCTV is not properly protected, there can be a risk of data leakage by hackers or illegal accessors. This paper presents an innovative approach to "machine learning based reversible chaotic masking method for user privacy protection in CCTV environment." The proposed method was developed to protect an individual's identity within CCTV images while maintaining the usefulness of the data for surveillance and analysis purposes. This method utilizes a two-step process for user privacy. First, machine learning models are trained to accurately detect and locate human subjects within the CCTV frame. This model is designed to identify individuals accurately and robustly by leveraging state-of-the-art object detection techniques. When an individual is detected, reversible chaos masking technology is applied. This masking technique uses chaos maps to create complex patterns to hide individual facial features and identifiable characteristics. Above all, the generated mask can be reversibly applied and removed, allowing authorized users to access the original unmasking image.

• Journal of Digital Convergence
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• v.13 no.6
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• pp.1-12
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• 2015

In recent years, the privacy concern for mobile consumers is emerging as the use of mobile application(apps) is growing according to the rapid spread of mobile devices such as smart phones and tablet PCs. To improve privacy protections in the mobile communications and apps, overseas organizations are announcing guidelines and/or checklists for stake holders. Although personal information protection guidelines for application developers have been prepared in the country, efforts to improve consumer privacy capability is insufficient. Thus, in this paper we first scope the app privacy related guidelines in both domestic and foreign affairs, then present the risk factors of privacy invasion by the stage of mobile application use based on the "Privacy Protection Act", offering privacy checklists for consumers. This checklist will enhance the self-management capability of consumer privacy and create virtuous cycle in the mobile ecosystem.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.11a
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• pp.157-162
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• 2005

Seamlessness is the Keyword of U-Commerce Which may be defined as the commercial interaction among providers, consumers, products, and services, enabled and supported especially by the real-world seamless communication of each entity and object's digital information. However, the possibility of the seamless transactions increases the privacy risk of the entities involved. Therefore, the core issue of U-Commerce is how to promote seamless transactions while protecting the privacy. for the seamlessness, the role of incentive-emphasized business model is important since the seamlessness makes clear which economic entities contribute to a commercial transaction. Economic entities will reject the seamless transactions unless the sufficient incentives are given to them. In order to consider the privacy issue, we suggest an alternative U-Commerce architecture based on Hybrid P2P Model and Personal Information Base.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.264-267
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• 2022

Recently, federated learning (FL) has increased prominence as a viable approach for enhancing user privacy and data security by allowing collaborative multi-party model learning without exchanging sensitive data. Despite this, most present FL systems still depend on a centralized aggregator to generate a global model by gathering all submitted models from users, which could expose user privacy and the risk of various threats from malicious users. To solve these issues, we suggested a safe FL framework that employs differential privacy to counter membership inference attacks during the collaborative FL model training process and empowers blockchain to replace the centralized aggregator server.

• Convergence Security Journal
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• v.12 no.1
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• pp.71-77
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• 2012

Along with the development of Internet services such as Social Network Service (SNS) and blog Service, the privacy is very important in these services. But personal data is not safety from exposure to internet service. If personal data is leak out, the privacy is disclosed to hacker or illegal person and the personal information can be used in a cyber crime as phishing attacks. Therefore, the model and method that protects to disclose privacy is requested in SNS and blog services. The model must evaluate degree of exposure to protect privacy and the method protects personal information from Internet services. This paper proposes a model to evaluate risk for privacy with property of personal data and exposure level of internet service such as bulletin board. Also, we show a method using degree of risk to evaluate with a proposed model at bulletin board.