• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.451-455
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• 2012

In this paper, Nateon, MSN Messenger, including how to hack into the most intimate acquaintance formed as follows, for hacking (keyloggers, remote monitoring, etc.) by sending a bank and ID, PW, certificate, security card, etc. personal financial information obtained after the withdrawal of the account balance to have a personal financial analysis infringement attack vulnerable elements found in internet banking, the vulnerabilities and countermeasures concerning the prevention of accidents, including violations by seeking a more secure Internet banking personal Internet Banking is to devise a deal.

• Journal of Internet Computing and Services
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• v.16 no.4
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• pp.149-156
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• 2015

The Personal Information Protection Commission shall be established under the direct jurisdiction of the President and shall independently perform affairs under its authority. It shall be comprised of total 15 members (5 members designated by the President, 5 members elected at the National Assembly and 5 members designated by the Chief Justice of the Supreme Court), including one minister-level Chairperson and one vice-minister-level standing member. Main functions of the Personal Information Protection Commission include deliberation and resolution of major policies and improvement of ordinances and systems related to personal information protection, coordination of opinions among public institutions in regards to the management of personal information, recommendation of improvement such as suspension of infringement by a central administrative agency, a local government and a constitutional institution, and submission of annual reports on personal information protection to the National Assembly. The function and role of the Personal Information Protection Commission regulated by the current law are insufficient in terms of independence and authorities of protection agencies compared to the international standard or level of discussion. The Commission thus cannot play a sufficient role as an independent agency for efficient protection of personal information. Therefore, there is a need for law revision that revives the purpose of the establishment of the Personal Information Protection Commission.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.1
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• pp.215-227
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• 2018

As Korea is rapidly becoming an IT powerhouse in the short term, various side effects such as cyber violence, personal information leakage and cyber terrorism are emerging as new social problems. Especially, the seriousness of leakage of personal information, which is the basis of safe cyber life, has been highlighted all over the world. In this regard, it is necessary to estimate the amount of the damage cost due to the leakage of personal information. In this study, we propose four evaluation methods to calculate the cost of damages due to personal information leakage according to average real transactions value, personally recognized value, compensation amount basis, and comparison to similar countries. We analyzed data from 2007 to 2016 to collect personal information leakage cases for 10 years and estimated the cost of damages. The number of cases used in the estimation is 65, and the total number of personal information leakage is about 430 million. The estimated cost of personal information leakage in 2016 was estimated to be at least KRW 7.4 billion, up to KRW 220 billion, and the 10 year average was estimated at from KRW 10.7 billion to KRW 307 billion per year. Also, we could find out the singularity that the estimated damage due to personal information leakage increases every three years. In the future, this study will be able to provide an index that can measure the damage cost caused by the leakage of personal information more accurately, and it can be used as an index of measures to reduce the damage cost due to personal information leakage.

• Journal of Platform Technology
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• v.11 no.3
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• pp.56-67
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• 2023

Recently, de-identification of personal information, which has been a long-cherished desire of the data-based industry, was revised and specified in August 2020. It became the foundation for activating data called crude oil[2] in the fourth industrial era in the industrial field. However, some people are concerned about the infringement of the basic rights of the data subject[3]. Accordingly, a development study was conducted on the Batch De-Identification Tool, a personal information de-identification automation tool. In this study, first, we developed an image labeling tool to label human faces (eyes, nose, mouth) and car license plates of various resolutions to build data for training. Second, an object recognition model was trained to run the object recognition module to perform de-identification of personal information. The automated personal information de-identification tool developed as a result of this research shows the possibility of proactively eliminating privacy violations through online services. These results suggest possibilities for data-based industries to maximize the value of data while balancing privacy and utilization.

• Journal of Convergence for Information Technology
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• v.10 no.7
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• pp.20-32
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• 2020

This study is to develop and provide a personal information protection framework that enables IoT service providers to safely and systematically operate personal information of IoT service subjects in the overall process of providing IoT devices and services. To this end, a framework for personal information framework was derived through literature survey, and FGI with experts, it was divided into three stages, each of three stages: IoT service provision process and IoT personal information processing process. The study conducted an e-mail survey of related experts using AHP techniques to determine the importance of the components of the selected personal information protection framework. As a result, in the IoT service provision process, the IoT product and service design and development stage (0.5413) is the most important, and in the IoT personal information processing process, personal information protection in the collection and retention of personal information (0.5098) is the most important. Therefore, based on this research, as the IoT service is spreading, it is expected that a safe personal information protection framework will be realized by preventing security threats and personal information infringement accidents.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.4
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• pp.109-115
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• 2016

Life log started with the simple purpose of recording or sharing mainly data regarding one's personal life, but with the introduction of advanced specialized analytic methods by many corporations, a new type of business based on the life log recently emerged, with an aim of improving the quality of people's personal lives. In spite of the indispensable advantages, however, personal health lifelog service brings critical challenges that cannot be avoided from user side if the security of the data is concerned. The problem of user's privacy infringement and leaking user's sensitive medical information is increasing with the revitalization of personal health lifelog services. In this paper, we propose an information security reference model for the personal health lifelog services. Our proposal can contribute to increase the related industry to cultivate new market by suggesting the clear announcement of the guidelines using privacy protection reference model for user-specific healthcare services which uses personal lifelog.

• The Journal of Society for e-Business Studies
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• v.19 no.3
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• pp.1-21
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• 2014

Personal information is a requisite for financial transactions as well as a core asset of financial companies. However, as a side effect of the information society, personal information infringements have emerged as significant social risks, causing realized loss to individuals and companies. This study analyzes results of financial and emotional loss in terms of consumer loss and also presents usefulness of insurance in order to minimize such actual damages as a means of risk transfer. In addition, this study investigates components and premium calculation principles of compensation insurance against personal information invasion and finally presents policies to activate these insurance product. As a method of risk management, insurance not only is a useful tool to guarantee consumer protection and companies' financial soundness simultaneously but also provides a basis of quantitative measurement of IT risks.

• The Korean Journal of Air & Space Law and Policy
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• v.29 no.2
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• pp.135-161
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• 2014

An unmanned aerial vehicle (UAV), commonly known as a drone and also referred to as an unpiloted aerial vehicle and a remotely piloted aircraft (RPA) by the International Civil Aviation Organization (ICAO), is an aircraft without a human pilot aboard. ICAO classify unmanned aircraft into two types under Circular 328 AN/190. Unmanned aircraft, which is the core of the development of the aviation industry. However, there are also elements of the legal dispute. Unmanned aircraft are manufactured in small size, it is possible to shoot a record peripheral routes stored in high-performance cameras and sensors without the consent of the citizens, there is a risk of invasion of privacy. In addition, the occurrence of the people of invasion of privacy is expected to use of civilian unmanned aircraft. If the exposure of private life that people did not want for unmanned aircraft has occurred, may occur liability to the operator of unmanned aircraft, this is a factor to be taken into account for the development of unmanned aircraft industry. In the United States, which is currently led by the unmanned aircraft industry, policy related to unmanned aircraft, invasion of privacy is under development, is preparing an efficient measures making. Unmanned aircraft special law has not been enforced. So there is a need for legal measures based on infringement of privacy by the unmanned aircraft. US was presented Privacy Protection Act of unmanned aircraft (draft). However Korea has many laws have been enacted, to enact a new law, but will be able to harm the legal stability, there is a need for the enactment of laws for public safety of life. Although in force Personal Information Protection Law, unmanned aerospace, when the invasion of privacy occurs, it is difficult to apply the Personal Information Protection Law. So, it was presented a privacy protection bill with infringement of privacy of unmanned aircraft in the reference US legislation and the Personal Information Protection Act.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.55-59
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• 2018

Big-data, a revolutionary technology in the era of the 4th Industrial Revolution, provides services in various fields such as health, public sector, distribution, marketing, manufacturing, etc. It is very useful technology for marketing analysis and future design through accurate and quick data analysis. It is very likely to develop further. However, the biggest problem when using Big-data is privacy and privacy. When various data are analyzed using Big-data, the tendency of each user can be analyzed, and this information may be sensitive information of an individual and may invade privacy of an individual. Therefore, in this paper, we investigate the necessary measures for Personal private information infringement that may occur when using Personal private information in Big-data environment, and propose necessary Personal private information protection technologies to contribute to protection of Personal private information and privacy.

• Informatization Policy
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• v.25 no.3
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• pp.29-51
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• 2018

As the core technology of the Fourth Industrial Revolution, the Internet of Things has been developed and has enabled various services, and personal information has been handled freely in the process. However, the infringement threat of personal information is increasing as more convenient services are provided and more information devices including smart devices are connected to the network. Therefore, this study is to analyze prioritizing personal information protection policy indicators in order to provide IoT services by constructing secure environment for implementing the Internet of things as the core technology of the 4th Industrial Revolution. This study reviewed personal information protection policy indicators based on the literature survey, and identified 3 fields, 9 areas, and 25 indicators through Delphi analysis for experts. The weights were calculated based on the AHP survey for 66 experts and the results were used to present the relative importance and priority of the policy indexes. The results of this study found the policy field was the most important, followed by the technical field, and the administrative field. Of the three areas of the policy field, strengthening the personal information protection laws related to IoT is the most important, while among the indicators, promoting and revising the personal information protection law related to IoT is the most important. Comparisons of the fields, areas, and indicators of IoT-related personal information protection policies found consistent values. The personal information protection policy indicators derived this way will contribute to the nation's competitiveness by expanding secure IoT policies in the future.