• Title/Summary/Keyword: Recognition of Personal Information Protection

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A Study on Policy Strategies for Settlement of North Korean Defectors in Korean Society

  • Cho, Woo-Hong
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.1
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    • pp.117-122
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    • 2018
  • This study aims to search for policy strategies for settlement of North Korean defectors in Korean society, develop strategies based on the results and present their implications. For the purposes, this study set up a cause and effect model referring to previous bibliographical and statistical data. The results are presented as follows: First, to overcome anxiety of exposure in the defectors, personal information should be protected. Second, their psychological problems should be solved and they should be emotionally stable for better adaptation to Korean society. Third, keeping in mind that North Korean defectors are Korean people, the issue of nationality should be institutionally managed. Fourth, as one of difficulties they have is economic problems, practical support measures should be developed to solve them. Fifth, the federal government and local governments should be active in changing their recognition on them and provide the Korean community education for citizens to resolve cultural differences.

A Proposal of Methods for Building Databases about the Accumulation of Disuse Utilizing the Political System to Discard Private Information According to the Expiration of In-service Life and Observation of Legal Standards (보존연한 도래 및 법적기준 준수를 위한 개인정보 정책적 폐기시스템을 활용한 폐기 누적현황 데이터베이스 구축에 관한 방안 제안)

  • Seo, Wooseok
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.14 no.3
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    • pp.45-53
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    • 2018
  • The Personal Information Protection Act has been revised continuously since its establishment, and as a way to secure stability properly, the guidelines as well as enforcement ordinances and regulations have been changed, too. It seems that people's recognition and awareness of private information have already evolved to a certain level that is regarded to be fairly high. However, no one can exactly imagine how much ripple effect scrapping discarded paper regarded simply as waste material which is often and easily practiced in our everyday lives exerts and how many socially significant events it may arouse in our lives. Private information is produced, operated, preserved, utilized, distributed within the frame of law unidentified, and then discarded with a particular purpose. While going through a series of processes, each piece of that private information comes to be reproduced melting a lot of information. It is used and also changed beneficially sometimes to richen our lives or as basic material for welfare. Meanwhile, its importance is decided by its weight or mass and then often gets discarded after all. It means that the process of disuse is being done in a way to arouse the possibility of invasion of personal rights and also the second and third and also more exposure of private information. Therefore, approaching the meaning of automation politically, this study aims to suggest how to secure stability in the process of discarding private information in terms of logical automation.

Key Determinants of Dissatisfaction on COVID-19 Contact Tracing and Exposure Notification Apps (COVID-19 접촉추적과 노출알림 앱사용자의 항의 및 불만요인 탐색)

  • Leem, Byung-hak;Hong, Han-Kook
    • The Journal of the Korea Contents Association
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    • v.21 no.9
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    • pp.176-183
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    • 2021
  • Digital medical technology is very effective and at the same time faces the challenge of protecting privacy. However, for contact tracking and exposure notification apps in COVID-19 environment, there is always a trade-off between privacy measures and the effectiveness of the app's use. Today, many countries have developed and used contact tracking and exposure notification apps in various forms to prevent the spread of COVID-19, but the suspicion of digital surveillance (digital panopticon) is unavoidable. Therefore, this study aims to identify the factors of personal information infringement and dissatisfaction through text mining analysis by extracting user reviews of "Self-Quarantine Safety Protection" in Korea. As a result of the text mining analysis, we derived four groups, 'Address recognition error', 'Exit warning error', 'Access error', and 'App. program error'. Since 'Address recognition error' and 'Exit warning error' can give the app users a strong perception that they are keeping under surveillanc by the app, transparent management of personal information protection and consent procedures related to personal information collection are required. In addition, if the other two groups are not corrected immediately due to an error in an app function or a program bug, the complaints of users can be maximized and a protest against the monitor can be raised.

Protective Way Improvement of a Crime Victim's Rights of Portrait (범죄 피해자의 초상권보호 개선방안)

  • Joen, Chan-Hui
    • The Journal of the Korea Contents Association
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    • v.9 no.4
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    • pp.286-298
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    • 2009
  • Became large a problem we were productive movement of information became large and occurring to diffusions of development of public media and Internet use. While the Internet became a generalization, public media had more influences and risks, and a crime to abuse anonymity became large in cyber space. In addition, damage is becoming expanded reproduction that infringe of ' crime victim's rights of portrait'. The point that is most important in order to improve these points is recognition regarding the special situation of crime victim, and the ethic consciousness and independent operation regulation and regulation system that these point was taken into consideration in the public media and Internet operation that are an information producer is necessary, and Internet portal shall be included like Internet newspapers to the arbitration object of the Press Arbitration Commission. Also, a legal system regarding personal responsibility shall have for protection of a crime victim's rights of portrait by personal information activity for protection in cyber space. Suggest to a portrait of a crime victim, and an individual and social rights security effort are required for activation regarding an infringement relief system.

A Countermeasures on Credit Card Crime Using Personal Credit Information (개인신용정보이용 신용카드범죄에 대한 대처방안)

  • Kim, Jong-Soo
    • Korean Security Journal
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    • no.9
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    • pp.27-68
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    • 2005
  • Recently, because credit card crime using a personal credit information is increasing, professionalizing, and spreading the area, the loss occurring from credit card crime is enormous and is difficult to arrest and punish the criminals. At past, crime from forging and counterfeiting the credit card was originated by minority criminals, but at present, the types and appearance of credit card crime is very different to contrasting past crime. The numbers of people using credit card in the middle of 1990's was increasing and barometer of living conditions was evaluated by the number having credit card, therefore this bad phenomenon occurring from credit card crime was affected by abnormal consumption patterns. There is no need emphasizing the importance of personal credit card in this credit society. so, because credit card crime using personal credit card information has a bad effect, and brings the economic loss and harms to individuals, credit card company, and members joining credit card. Credit card crime using personal credit card information means the conduct using another people's credit card information(card number, expiring duration, secret number) that detected by unlawful means. And crime using dishonest means from another people's credit information is called a crime profiting money-making and a crime lending an illegal advance by making false documents. A findings on countermeasures of this study are as follows: Firstly, Diverting user's mind, improving the art of printing, and legitimating password from payment gateway was suggested. Secondly, Complementing input of password, disseminating the system of key-board protection, and promoting legitimations of immediate notification duty was suggested. Thirdly, Certificating the electronic certificates as a personal certificates, assuring the recognition by sense organ of organism, and lessening the ratio of crime occurrence, and restricting the ratio of the credit card crime was suggested.

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Study for the Pseudonymization Technique of Medical Image Data (의료 이미지 데이터의 비식별화 방안에 관한 연구)

  • Baek, Jongil;Song, Kyoungtaek;Choi, Wonkyun;Yu, Khiguen;Lee, Pilwoo;In, Hanjin;Kim, Cheoljung;Yeo, Kwangsoo;Kim, Soonseok
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.6
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    • pp.103-110
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    • 2016
  • The recent frequent cases of damage due to leakage of medical data and the privacy of medical patients is increasing day by day. The government says the Privacy Rule regulations established for these victims, such as prevention. Medical data guidelines can be seen 'national medical privacy guidelines' is only released. When replacing the image data between the institutions it has been included in the image file (JPG, JPEG, TIFF) there is exchange of data in common formats such as being made when the file is leaked to an external file there is a risk that the exposure key identification information of the patient. This medial image file has no protection such as encryption, This this paper, introduces a masking technique using a mosaic technique encrypting the image file contains the application to optical character recognition techniques. We propose pseudonymization technique of personal information in the image data.

Effects of Consumer Innovativeness on the Evaluation of the Online Fashion Advertisement Sustainability (온라인 패션광고의 지속가능성 평가에 대한 소비자 혁신성 효과)

  • Son, Mi Young;Yoon, Namhee
    • Science of Emotion and Sensibility
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    • v.19 no.2
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    • pp.43-54
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    • 2016
  • The purpose of this research was to analyze the effect of consumer innovativeness on the evaluation of online fashion advertisement sustainability and on purchase intentions of advertising products. Online survey have been conducted of 573 people who had experience of online advertisements. The data collected from the surveys were analyzed by the factor analysis, the t-test and the multiple regression analysis. the results are as follows: Firstly, it has been identified that the concept of sustainability of online fashion advertisement consists of four sub-elements of the objectivity of advertisement expressions, the non-harmfulness of advertisement expressions, the protection of personal information, and the non-infringement of web use. Secondly, the group that has a higher consumer innovativeness shows a significantly higher experience of online advertisements as well as more many internet use hours than those who have a lower consumer innovativeness. In addition, comparing with the group that shows lower consumer innovativeness, the group who has higher consumer innovativeness shows a significantly higher recognition of the protection of personal information, the non-infringement of web use and the objectiveness of advertisement expressions among the sub-elements of online fashion advertisement. Lastly, the objectiveness of advertisement expressions and the non-infringement of web use significantly affect the intentions of the group that has high consumer innovativeness to purchase advertised products, and the purchase intentions of those who have low consumer innovativeness are significantly affected by the objectiveness of advertisement expressions and the protection of personal information.

Security Framework for Intelligent Predictive Surveillance Systems (지능형 예측감시 시스템을 위한 보안 프레임워크)

  • Park, Jeonghun;Park, Namje
    • Journal of the Korea Convergence Society
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    • v.11 no.3
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    • pp.77-83
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    • 2020
  • Recently, intelligent predictive surveillance system has emerged. It is a system that can probabilistically predict the future situation and event based on the existing data beyond the scope of the current object or object motion and situation recognition. Since such intelligent predictive monitoring system has a high possibility of handling personal information, security consideration is essential for protecting personal information. The existing video surveillance framework has limitations in terms of privacy. In this paper, we proposed a security framework for intelligent predictive surveillance system. In the proposed method, detailed components for each unit are specified by dividing them into terminals, transmission, monitoring, and monitoring layers. In particular, it supports active personal information protection in the video surveillance process by supporting detailed access control and de-identification.

Analysis on the Consciousness and Image Character of the Internet Shopping Mall Consumer (인터넷 쇼핑몰 이용자의 의식 및 이미지 특성 분석 - 대학생을 중심으로 -)

  • Lee, Jeong;Lee, Sang-Seol
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.28 no.3
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    • pp.87-97
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    • 2005
  • This study deals with the analysis on the consciousness and image character of the internet shopping mall. As consciousness analysis result of internet shopping mall consumer, 'cheap price' and 'convenience' are evaluated high by reason that buy goods/service. 'Delivery delay' shows that deficiency of swiftness is indicated preferentially by shortcoming when the goods/service are purchased at the internet shopping mall. Consumer is prferring most 'deferred payment' with consumer's protection system of internet shopping mall. In image character of internet shopping mall, computer system speed and swiftness of reaction time, intimacy of shopping mall site design, delivery system trustability, goods/service contiguity, trustability of billing system, recognition shopping mall company, consistency about good service etc., showed high assessment, but comparative satisfaction is not high in solution at authoritativeness of personal information leakage prevention, problem occurrence.

Analysis of privacy issues and countermeasures in neural network learning (신경망 학습에서 프라이버시 이슈 및 대응방법 분석)

  • Hong, Eun-Ju;Lee, Su-Jin;Hong, Do-won;Seo, Chang-Ho
    • Journal of Digital Convergence
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    • v.17 no.7
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    • pp.285-292
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    • 2019
  • With the popularization of PC, SNS and IoT, a lot of data is generated and the amount is increasing exponentially. Artificial neural network learning is a topic that attracts attention in many fields in recent years by using huge amounts of data. Artificial neural network learning has shown tremendous potential in speech recognition and image recognition, and is widely applied to a variety of complex areas such as medical diagnosis, artificial intelligence games, and face recognition. The results of artificial neural networks are accurate enough to surpass real human beings. Despite these many advantages, privacy problems still exist in artificial neural network learning. Learning data for artificial neural network learning includes various information including personal sensitive information, so that privacy can be exposed due to malicious attackers. There is a privacy risk that occurs when an attacker interferes with learning and degrades learning or attacks a model that has completed learning. In this paper, we analyze the attack method of the recently proposed neural network model and its privacy protection method.