• Journal of Platform Technology
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• v.12 no.1
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• pp.141-150
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• 2024

The importance of personal data protection is increasingly emphasized both at home and abroad, and while overseas countries are applying various policies and dynamic management technologies, there are some gaps between compliance with laws and regulations and the application of technologies in Korea, and there are few user interfaces that provide convenient ways for data subjects to stop processing personal data. This study first analyzes the need for dynamic personal information consent management technology, the current state of the industry, and the prospects for its development. Next, this study proposes a basic model for dynamic management of personal information consent that maximizes the data subject's right to personal data self-determination while strictly complying with personal data protection laws in Republic of Korea. In particular, this study analyzes the basis of domestic laws and regulations related to the suspension of personal data processing, designs a basic model of personal data consent dynamic management interface, and presents its effectiveness. Based on the results of this study, we expect that the proposed dynamic management model for personal data use consent can be used in various ways for various websites and applications in the future.

• Journal of the Korean Home Economics Association
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• v.50 no.4
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• pp.89-102
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• 2012

The purpose of this study was to demonstrate the effects of "characteristics for household management" and "attitudes toward household management" on wives' personal expenses. The data were obtained from the F-GENS Korea Panel Survey of Ochanomizu University. The responses were gathered from married people in Seoul and its surrounding metropolitan area. The sample for this study was comprised of 473 married women. ANOVA and multiple-regression models were used to analyze the data. The results are summarized below. First, 13.5 percent of the respondents have zero personal expenses. Second, the personal expenses among the wives differed depending on their annual average income levels. Also, their personal expenses differed based on their type of employment. Third, the "expenditure ratio for family" and "expenditure ratio for children" negatively affected their personal expenses. Fourth, the women who had responsibility for the management of their households had lower personal expenses than the others.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.1
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• pp.37-45
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• 2022

With the development of the 4th industry, big data using AI is being used in many areas of our lives, and the importance of data is increasing accordingly. In particular, as various services using personal information appear and hacking attacks that exploit them appear in various ways, the importance of personal information management is increasing. Personal information must be managed safely even when collecting, retaining, using, providing, and destroying personal information, and the rights of information subjects must be protected. In this paper, an analysis was performed on the notification of usage history during the protection of the rights of information subjects using the MyData model. According to the Personal Information Protection Act, users must be periodically notified of the use of personal information, so we notify each individual of the use of personal information through e-mail or SNS once a year. It is difficult to understand and manage which company use my personal information. Therefore, in this paper, a personal information usage history notification system model was proposed, and as a result of performance analysis, it is possible to provide the controllability, availability, integrity, source authentication, and personal information self-determination rights.

• Journal of Internet Computing and Services
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• v.25 no.4
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• pp.87-96
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• 2024

Information power has been a major criterion for wealth disparity in human history, and since the advent of the Fourth Industrial Revolution, referred to as the data economy era, personal information has also gained economic value. Additionally, companies collect and analyze customer information to use as a marketing tool, providing personalized services, making the collection of quality customer information crucial to a company's success. However, as the amount of data held by companies increases, crimes of stealing personal information for financial gain have surged, making corporate customer information a target for criminals. The leakage of personal information and its circumstances lead to a decline in corporate trust from the customer's perspective, threatening corporate sustainability with falling stock prices and decreased sales. Therefore, companies find themselves in a paradoxical situation where the utilization of personal information is increasing while the risk of personal information leakage is also growing. This study used the news big data analysis system, BIG KINDS, to analyze major keywords before and after media coverage on personal information leaks, examining domestic media coverage trends. Through this, we identified the impact of personal information leakage on corporate sustainability and analyzed the connection between personal information protection and sustainable corporate management. The results derived from this study are expected to serve as foundational data for companies seeking ways to enhance sustainable management while increasing the utilization of personal information.

• Journal of Convergence Society for SMB
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• v.6 no.2
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• pp.25-30
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• 2016

Personal Information Protection Act does not apply to certain personal information processings and personal information management as well as the data subject's right to access to their personal information collected by public authorities pursuant to Statistics Act. Such exclusion may lead to problems such as misuse and mishandling of personal information by data controllers as well as infringement upon the data subejct's right to control over their personal information. This study is to find solutions to the above problems, considering the public interests of statistics and the facilitation of the collection and the use of statistics. Ultimately, the study is to suggest recommendations for the Personal Information Protection Act to ensure the data subject's rights to request access and rectification as well as safe management of the collected personal information.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.12
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• pp.4400-4419
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• 2021

In the 4th Industrial Revolution, the healthcare industry is undergoing a paradigm shift from post-care and management systems based on diagnosis and treatment to disease prevention and management based on personal precision medicine. To optimize medical services for individual patients, an open ecosystem for the healthcare industry that allows the exchange and utilization of personal health records (PHRs) is required. However, under the current system of hospital-centered data management, it is difficult to implement the linking and sharing of PHRs in practice. To address this problem, in this study, we present the design and implementation of a patient-centered PHR platform using blockchain technology. This platform achieved transparency and reliability in information management by eliminating the risk of leakage and tampering/altering personal information, which could occur when using a PHR. In addition, the patient-consent system was applied to a PHR; thus, the patient acted as the user with ownership. The proposed blockchain-based PHR platform enables the integration of personal medical information with scattered distribution across multiple hospitals, and allows patients to freely use their health records in their daily lives and emergencies. The proposed platform is expected to serve as a stepping stone for patient-centered healthcare data management and utilization.

• Journal of Korea Society of Digital Industry and Information Management
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• v.4 no.2
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• pp.101-108
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• 2008

In this paper, we develop system to backup automatically personal data by real time based on ECA model. This system backups data that is changed in user PC using CDP technology based on ECA model. Proposed ECA model defines file's change such as file creation, update, remove etc. in user PC to event for synchronization between server and user PC. If event is detected about file, proposed system examines condition that is defined and backup the file to server. Backup data that is stored to server can recovery on point of time that user wants. The proposed system can be applied to data management system for business, personal data management system, high-capacity contents management system etc.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.57-66
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• 2023

Since 2009, Morocco has had a law governing the processing of personal data, the law 09-08, and a supervisory authority, the CNDP (National Commission for the Protection of Personal Data). Since May 2018, the European General Regulation on the Protection of Personal Data (GDPR) entered into force, which applies outside the EU in certain cases and therefore to certain Moroccan companies. The question of the protection of personal data is primarily addressed to the customer. The latter may not only be a victim of crime linked to ICT, but also have to face risks linked to the collection and abusive processing of his personal data by the private and public sectors. Often the customer does not really know how their data is stored, nor for how long and for what purpose. This fact raises the question of satisfying customer requirements, in particular for organizations that have adopted a quality approach based on ISO 9001 standard.In order to master these constraints, Moroccan companies have to adopt strategies based on modern quality management techniques, especially the adoption of principles issued from the international standard ISO 9001 while being confirmed by the law 09-08. It is through ISO 9001 and the law 09-08 that these companies can refer to recognized approaches in terms of quality and compliance. The major challenge for these companies is to have a Quality approach that allows the coexistence between the law 09-08 and ISO 9001 standard and this article deals within this specific context.

• The Journal of Society for e-Business Studies
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• v.17 no.3
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• pp.43-60
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• 2012

This study reviews the life cycle models considering legal and technical characteristics of personal data respectively. Based on the reviews, this research proposes 'consent and management based model of personal data' which is applicable to the domestic IT companies. The model suggested in this paper has characteristics that 'Consent' and 'Management' factors are ㅁpositively considered, which is overlooked in the other models. The validity of the model is examined by two methods, validation of the model of excellence by contrast of the other models, and 'consent' and 'management' factors cover all the life cycle processes. Using this model, IT companies will be contributed to the analysis of the personal data utilization and the development of IT system protection.

• Asia pacific journal of information systems
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• v.34 no.1
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• pp.292-320
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• 2024

The amount of data a related to a person is so substantial that it appears that a digital version of them can be built thereon. They are usually handled as personal information, and the attempts made to understand personal information have led to bundling and unbundling of various data, yielding numerous fragmented categories of personal information. Therefore, we attempt to construct a generalizable lens for a deeper understanding of person-related data. We develop a theoretical framework that provides a fundamental method to understand these data as an entity of a digitally represented person based on literature review as well as the concepts of inforg and infosphere. The proposed framework suggests person-related data consist of three informational inforg dimensions that can preserve the archetype of a person, form, content, and interaction. Subsequently, the framework is examined and tested through several analyses in two different contexts: social media and online shopping mall. This framework demonstrates the suggested dimensions are interrelated with certain patterns, the prominent dimension can determine the data characteristics, and the dimensional composition of data types can imply the characteristics of the digitally represented person in certain contexts.