• Journal of Korea Society of Industrial Information Systems
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• v.22 no.1
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• pp.69-87
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• 2017

This Research Attempted to Clarify the Eeffect of Privacy Concern and Institutional Trust on Privacy Decision based on Privacy Calculus Perspective. We Developed a Research Model Suggesting that the Influence of Privacy Benefit and Privacy risk on the Information Disclosure Behavior and the Influence of Privacy Concern and Institutional Trust on the Privacy Calculus. In this Regard, in Order to Examine the Difference According to the Target whose Personal Information was Collected, an Empirical Analysis was Conducted to Compare the E-commerce Field and LBS(Location Based Service) Field. The Results of Empirical Analysis are as follows. First, it is Founded that other Relations were All Statistically Significant Except the Relation between Privacy Risk and Information Disclosure Behavior in the LBS group. Next, as a Results of Comparison of Constructs in the E-commerce and Institutional trust than the LBS group, Identifying that the Consumers are more Sensitive to the Personal Information Collected in the E-commerce site.

• Review of KIISC
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• v.16 no.4
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• pp.77-86
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• 2006

향후의 유비쿼터스 사회(U-Society)는 정보화에 따른 여러가지 새로운 위험들이 나타나는 사회가 될 것이며, 개인정보 생성, 수집 등을 통해 개인정보 지식베이스 형성을 가능하게 하는 정보위험사회의 도래가 예상되고 있다. 따라서, 사용자의 상황에 맞게 적응적(Adaptive)이고 적시적(Just-In-Time)으로 개인정보보호 서비스 제공이 가능한 새로운 프레임워크 개발이 요구된다. 본 논문에서는 U-Society와 프라이버시 개념의 변화 과정을 검토하고, 개인정보 및 프라이버시 침해의 유형을 비교 분석한다. 아울러, 기존 프라이버시 보호 프레임워크 모델인 WASP 아키텍쳐와 IBM의 TPM 작동 과정과 주요 기능을 살펴보고 이에 따른 문제점을 지적한다. 또한, 개인정보보호 대책을 수립하기 위해 개인정보의 라이프사이클 관점에서 수집, 저장/관리, 이용/제공, 폐기의 4단계로 분석하고 개인정보 라이프사이클에 따른 프라이버시 보호 프레임워크 모델을 제시한다.

• Informatization Policy
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• v.17 no.2
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• pp.68-85
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• 2010

This study extends the privacy calculus model to investigate the role of information transparency in influencing individual decision making on information disclosure. The proposed model integrates perceived usefulness and ease of use as benefit-side factors and information privacy risk as a risk-side factor accompanying information disclosure, and theorizes the effects of information transparency on the factors. The research model was tested using data gathered from 163 respondents through an online survey method. Results suggest that users'perception of information transparency not only increases the perceived benefits from the online site but also mitigates the risk related with information disclosure, resulting in higher intention to provide personal information to the site. Further, we find that online firms may improve users' perception of information transparency by providing explanation on why particular personal information is required and how it will be used.

• 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.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.868-870
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• 2013

전자의무기록(Electronic Medical Record, EMR) 시스템은 기존에 수기로 작성하던 의무기록을 디지털화 한 것이다. 이는 다양한 장점이 있지만 의료인이 관리 도메인을 통해 환자의 정보를 세밀하게 수집할 수 있는 환자 개인의 프라이버시 침해 문제가 발생하게 된다. 즉, 관계자에 의해 의도적인 유출이 발생하거나 의료정보의 거래, 복제 등 위험성이 존재한다. 특히 일부 의료정보는 고용 차별이나 사회적 차별 등 환자에게 정신적 고통을 안겨줄 수 있다. 이러한 프라이버시 침해는 유전성 질환 유전자를 가진 사람에게 유전적 요인에 근거하는 고용 차별이 발생할 수 있다. 관련연구에서는 환자의 임상적(Clinical) 또는 유전적(Genomic) 정보가 자신의 신원과 연계되어 있다면 프라이버시 침해가 발생할 수 있음을 나타낸다. 이러한 프라이버시 문제로 인해 EMR 시스템에 기반을 둔 전자건강기록(Electronic Health Record, EHR) 시스템 또한 개인 프라이버시 침해의 위험이 존재하게 된다. 따라서 의료정보의 프라이버시 보호를 위해 부당한 고용 차별 보험 차별 사회적 차별로 연결될 수 있는 개인 의료정보의 유출방지, 타인에게 알려지고 싶지 않은 개인 의료정보가 무단으로 거래되지 않는 것을 보장해야 한다. 이를 위해 본 논문에서는 의무기록의 익명화를 통해 환자와 의무기록 간의 관계를 제거하는 여러 방법들을 소개한다.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.107-119
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• 2013

The purpose of this study is to find an answer why internet users are unconcern about their privacy information. We found that perceived privacy risk and website usability have a significant effect on privacy unconcern. That is, individuals who have experiences privacy incidents are more likely to be unconcern about their privacy information. Accordingly, organizations who supply services on the web have to pay more attention to these individuals to increase a privacy concern. Implications and Conclusions are discussed.

• Information Systems Review
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• v.25 no.3
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• pp.99-120
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• 2023

Courier services users' experience of violating privacy affects psychology and behavior of protecting personal privacy. Depending on what privacy infringement experience (PIE) of courier services users, learning about perceived privacy infringement incidents is made, recognition is formed, affection is formed, and behavior is appeared. This paradigm of changing in privacy psychologies of courier services users has an important impact on predicting responses of privacy protective action (PPA). In this study, a theoretical research framework are developed to explain the privacy protective action (PPA) of courier services users by applying attitude theory. Based on this framework, the relationships among past privacy infringement experience (PIE), perceived privacy risk (PPR), privacy concerns (i.e., concerns in unlicensed secondary use (CIUSU), concerns in information error (CIE), concerns in improper access (CIA), and concern in information collection (CIC), and privacy protective action (PPA) are analyzed. In this study, the proposed research model was surveyed by people with experience in using courier services and was analyzed for finding relationships among research variables using structured an equation modeling software, SMART-PLS. The empirical results show the causal relationships among PIE, PPR, privacy concerns (CIUSU, CIE, CIA, and CIC), and PPA. The results of this study provide useful theoretical implications for privacy management research in courier services, and practical implications for the development of courier services business model.

• 정보보호뉴스
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• no.9 s.132
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• pp.22-24
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• 2008

개인정보보호에 대한 관심과 사회적 이슈는 국내뿐만이 아니라, 전 세계적인 공동의 관심사로 떠오른지 오래다. 국제기구가 프라이버시 보호 법안을 제정해 각국 정부에 권고하는 한편, 개인정보보호, 프라이버시 보호와 비즈니스의 연관관계를 분석하는 시도가 늘어나고 있다. 국제적인 컨설팅 그룹 딜로이트에서 보안 프라이버시와 데이터 보호 분야를 맡고 있는 Ken DeJarnette에게 비즈니스와 개인정보 및 프라이버시 보호의 연관성에 대해 다양한 조언을 요청했다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.5
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• pp.945-956
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• 2020

The publication of data is essential in order to receive high quality services from many applications. However, if the original data is published as it is, there is a risk that sensitive information (political tendency, disease, ets.) may reveal. Therefore, many research have been proposed, not the original data but the synthetic data generating and publishing to privacy preserve. but, there is a risk of privacy leakage still even if simply generate and publish the synthetic data by various attacks (linkage attack, inference attack, etc.). In this paper, we propose a synthetic data generation algorithm in which privacy preserved by applying differential privacy the latest privacy protection technique to GAN, which is drawing attention as a synthetic data generative model in order to prevent the leakage of such sensitive information. The generative model used CGAN for efficient learning of labeled data, and applied Rényi differential privacy, which is relaxation of differential privacy, considering the utility aspects of the data. And validation of the utility of the generated data is conducted and compared through various classifiers.

• Journal of the Korea Society of Computer and Information
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• v.27 no.1
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• pp.193-200
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• 2022

In this paper, we examined the causes of privacy concerns and related factors in social log-in services. On the basis of the 'principal-agent theory,' we established factors such as perceived information asymmetry and fear of seller opportunism affecting information privacy concern of social log-in services users. In addition, we analyzed the relationship between the information privacy concern and intention to use on the basis of the 'privacy calculus theory'. The results of the study showed that (1) fear of seller opportunism had the significant effect on information privacy concerns, (2) information privacy concerns had the significant effect on perceived risk, (3) in accordance with the privacy calculus theory, perceived risk had the negative effect on intention to use, while perceived benefit had the positive effect on intention to use. The findings of the study are expected to help to improve the social log-in service firms' understanding for customers' information privacy protection behaviors.