• Archives of Plastic Surgery
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• 제50권4호
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• pp.443-444
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• 2023

Point-of-care photography and photo sharing optimize patient outcomes and facilitate remote consultation imperative for resident surgeons. This literature review and external pilot survey study highlight the risks associated with current practices concerning patient privacy and biometric security. In a survey of 30 plastic surgeon residents and attendings, we found that the majority took photos of patients with their iPhones and shared them with colleagues via Apple iMessage. These findings corroborate previous reports and highlight a lack of physician user acceptance of secure photo-sharing platforms. Finally, we frame a successful example from the literature in the context of a postulated framework for institutional change. Prioritizing the privacy and safety of patients requires a strategic approach that preserves the ease and frequency of use of current practices.

• Asia pacific journal of information systems
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• 제24권3호
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• pp.299-323
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• 2014

The reason location based service is drawing attention recently is because smart phones are being supplied increasingly. Smart phone, basically equipped with GPS that can identify location information, has the advantage that it can provide contents and services suitable for the user by identifying user location accurately. Offering such diverse advantages, location based services are increasingly used. In addition, for use of location based services, release of user's personal information and location data is essentially required. Regarding personal information and location data, in addition to IT companies, general companies also are conducting various profitable businesses and sales activities based on personal information, and in particular, personal location data, comprehending high value of use among personal information, are drawing high attentions. Increase in demand of personal information is raising the risk of personal information infringement, and infringements of personal location data also are increasing in frequency and degree. Therefore, infringements of personal information should be minimized through user's action and efforts to reinforce security along with Act on the Protection of Personal Information and Act on the Protection of Location Information. This study aimed to improve the importance of personal information privacy by empirically analyzing the effect of perceived values on the intention to strengthen location information security and continuously use location information for users who received location-based services (LBS) in mobile environments with the privacy calculation model of benefits and risks as a theoretical background. This study regarded situation-based provision, the benefit which users perceived while using location-based services, and the risk related to personal location information, a risk which occurs while using services, as independent variables and investigated the perceived values of the two variables. It also examined whether there were efforts to reduce risks related to personal location information according to the values of location- based services, which consumers perceived through the intention to strengthen security. Furthermore, it presented a study model which intended to investigate the effect of perceived values and intention of strengthening security on the continuous use of location-based services. A survey was conducted for three hundred ten users who had received location-based services via their smartphones to verify study hypotheses. Three hundred four questionnaires except problematic ones were collected. The hypotheses were verified, using a statistical method and a logical basis was presented. An empirical analysis was made on the data collected through the survey with SPSS 12.0 and SmartPLS 2.0 to verify respondents' demographic characteristics, an exploratory factor analysis and the appropriateness of the study model. As a result, it was shown that the users who had received location-based services were significantly influenced by the perceived value of their benefits, but risk related to location information did not have an effect on consumers' perceived values. Even though users perceived the risk related to personal location information while using services, it was viewed that users' perceived value had nothing to do with the use of location-based services. However, it was shown that users significantly responded to the intention of strengthening security in relation to location information risks and tended to use services continuously, strengthening positive efforts for security when their perceived values were high.

• Asia pacific journal of information systems
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• 제10권3호
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• pp.61-77
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• 2000

World Wide Web(Web) supports bi-directional communication between corporations and consumers. In the year of Electronic Commerce, close relationships with consumers are more emphasized for corporations. Nowadays, corporations compete with corporations which are located in whole world through the media called Internet. In this competitive environment, to attract consumers' attentions, it is required to develope corporations' Web sites in the way to stimulate consumers' purchase intentions. To verify the elements needed to stimulate consumers' purchase intentions factors which influence consumers' purchase intentions were analyzed. Adaptation, shopping convenience and assurance-reliability were found to be positive factors for consumers' purchase intentions. It was also found that consumers' purchase intentions in electronic commerce market are influenced by previous shopping experiences. Consumers who have previous shopping experiences are mainly influenced by good delivery systems and shopping environments while who have no experiences are influenced by consumers' risks such as performance risk and personal and privacy risk when they intend to purchase products or services.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2023년도 제68차 하계학술대회논문집 31권2호
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• pp.631-633
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• 2023

본 논문에서는 빅데이터의 활용이 확산되는 현대 사회에서 빅데이터의 수집, 관리, 이용 등에서 나타날 수 있는 문제를 확인하고 그 문제에 대한 기존의 대응 방법과 보완점을 시사한다. 빅데이터의 위험성은 개인 정보유출, 디지털 디바이드, 편향성과 신뢰성, 의존성과 통제 가능성 등이 있다. 해당 문제는 빅데이터의 보편화가 가중될수록 큰 규모의 사회적 문제로 대두될 가능성이 높다. 이를 보완하기 위한 대응 방법을 크게 기술적 대응, 법적 대응, 사회적 대응으로 나누어 알아보고 각 부분의 취약점을 분석하여 개선의 방향을 제시한다.

• 정보보호학회논문지
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• 제24권6호
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• pp.1293-1308
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• 2014

2014년 카드사 개인정보유출 사고의 원인은 테스트시스템에서 원본 데이터가 사용되었기 때문이다. 금융감독원 전자금융감독규정과 금융회사 정보기술(IT)부문의 정보보호업무 모범규준에는 테스트시스템에서 고객을 식별하는 정보는 변환하여 사용하도록 규정하고 있다. 금융회사는 이 지침에 따라 고객식별정보를 변환한 데이터를 테스트시스템에 적재하여 사용한다. 하지만, 테스트 과정에서의 사용자 실수 또는 기술적, 관리적 보안의 미비 등으로 의도치 않게 실제 개인식별정보가 유입될 수 있으나, 이를 통제 및 관리하는 프로세스는 현재 연구된 바가 없고, 감독기관의 컴플라이언스 위반 가능성을 높이는 원인이 되고 있다. 본 논문에서는 이러한 테스트시스템의 변환 미확인 고객식별정보를 관리 및 통제함으로써 감독기관의 컴플라이언스 위반 가능성을 없애는 프로세스를 제시 및 실증하고, 그 효과성을 확인해 본다.

• 정보보호학회논문지
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• 제25권1호
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• pp.83-94
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• 2015

중복 제거 기술(Deduplication)은 동일한 데이터에 대하여 중복 저장을 방지하는 기법으로 클라이언트(Client)와 클라우드 서버(Cloud Server) 간에 데이터를 저장하고 관리하는데 있어 효율성을 제공한다. 하지만 공개된 환경의 클라우드 서버에 데이터를 저장하고 관리하기 때문에, 클라이언트가 저장한 데이터에 대한 프라이버시 문제가 발생할 뿐만 아니라 데이터의 손실이 발생할 수도 있다. 최근 이러한 문제점들을 해결하기 위해 안전한 중복 제거 기술이 제안되었지만, 여전히 각각의 공격의 안전성에 대한 문제가 발생할 뿐만 아니라 비효율적이다. 본 논문에서는 2013년 Bellare 등이 제안한 기법의 키 서버(Key Server)와 질의-응답 메커니즘(Challenge-Response)을 이용하여 안전하고 효율적인 클라이언트 사이드 중복 제거 기술을 제안한다. 제안 기법은 클라이언트 사이드 중복 제거 기술에서 발생하는 다양한 공격에 대해 안전성을 제공하며, 크기가 큰 데이터를 업로드 하는 환경에서 높은 효율성을 제공한다.

• 정보보호학회논문지
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• 제29권5호
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• pp.1205-1219
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• 2019

데이터 기반 경제시대에서 데이터 활용능력이 경쟁력이 됨에 따라 개인정보의 보호와 더불어 개인정보의 활용을 통한 경제적 부가가치를 창출하려는 노력이 함께 강조되고 있다. 이 가운데 등장한 EU의 PSD2(the second Payment Service Directive)는 정보 주체의 '정보이동권'을 근거로 개인의 자기결정권을 보장하면서 데이터의 활용과 유통을 촉진하는 마이데이터 정책으로 전 세계 오픈뱅킹 정책의 시초가 되고 있다. 이러한 추세에 따라 우리나라 정부도 국내 금융업권별 실정을 반영하여 마이데이터 정책을 적극적으로 추진하고 있다. 하지만, 마이데이터 정책으로 인해 금융정보의 유통 및 활용 범위가 커진 만큼 개인정보의 유출 및 오남용, 해킹 등 위험도 커진 것도 사실이다. 본 연구에서는 EU PSD2가 어떻게 국내 금융분야 마이데이터 정책에 반영되어 추진되고 있는지를 살펴본다. 그리고 국내 마이데이터 정책의 개인정보보호 위험 사항을 개인정보 생명 주기별로 나누어 식별한 후 이러한 위험에 대한 법적 기술적 대응책을 제시하고자 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권2호
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• pp.742-756
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• 2022

A flood of information has occurred with the rise of the internet and digital devices in the fourth industrial revolution era. Every millisecond, massive amounts of structured and unstructured data are generated; smartphones, wearable devices, sensors, and self-driving cars are just a few examples of devices that currently generate massive amounts of data in our daily. Machine learning has been considered an approach to support and recognize patterns in data in many areas to provide a convenient way to other sectors, including the healthcare sector, government sector, banks, military sector, and more. However, the conventional machine learning model requires the data owner to upload their information to train the model in one central location to perform the model training. This classical model has caused data owners to worry about the risks of transferring private information because traditional machine learning is required to push their data to the cloud to process the model training. Furthermore, the training of machine learning and deep learning models requires massive computing resources. Thus, many researchers have jumped to a new model known as "Federated Learning". Federated learning is emerging to train Artificial Intelligence models over distributed clients, and it provides secure privacy information to the data owner. Hence, this paper implements Federated Averaging with a Deep Neural Network to classify the handwriting image and protect the sensitive data. Moreover, we compare the centralized machine learning model with federated averaging. The result shows the centralized machine learning model outperforms federated learning in terms of accuracy, but this classical model produces another risk, like privacy concern, due to the data being stored in the data center. The MNIST dataset was used in this experiment.

• International Journal of Computer Science & Network Security
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• 제22권7호
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• pp.131-146
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• 2022

The Internet is becoming a basic need for many individuals globally in this digital age. The youths became more active online than before, with the majority relying on different platforms to communicate and interact with peers. Saudi Arabia is one of the nations where internet usage is high, with an increasing number of active internet users. The youth in Saudi Arabia are engaged in various online platforms. However, they lack adequate knowledge about cybersecurity and the dangers of internet usage, which exposes them to the risk of falling victims to cybercriminals. The most common dangers of internet usage include viruses, malware, phishing, and hacking, compromising users' sensitive information. Increased awareness of these potential threats helps protect Internet users and secure their data. The understanding of the dangers of Internet usage among youths varies across countries. In this regard, our study explores the risks of internet usage among youth in Saudi Arabia compared to the United States, South Africa, and New Zealand.

• 융합경영연구
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• 제11권6호
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• pp.9-22
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• 2023

Purpose: This paper aims to suggest ways to apply the leading technologies of Industry 5.0 to the housing welfare field, tasks for this, and policy implications. Research design, data, and methodology: The analysis method of this study is a literature study. The analysis steps are as follows. Technology trends and characteristics of Industry 5.0 were investigated and analyzed. The following is a method of applying technology 5.0 in the industrial field. Finally, the application areas of each technology and the challenges to be solved in the process were presented. Results: The results of the analysis are 1) the accessibility and diffusion of technology. This means that all citizens have equal access to and use of the latest technology. To this end, the appropriate use of technology and the development of a user-centered interface are needed. 2) Data protection and privacy. Residential welfare-related technologies may face risks such as personal information leakage and hacking in the process of collecting and analyzing residents' data. 3) Stability, economic feasibility, and sustainability of the technology. Conclusions: The policy implications include: 1) Enhancing technology education and promotion to improve tech accessibility for groups like the low-income, rural areas, and the elderly, 2) Strengthening security policies and regulations to safeguard resident data and mitigate hacking risks, 3) Standardization of technology, 4) Investment and support in R&D.