• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.3
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• pp.291-307
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• 2021

There has been global efforts to prevent the further spread of the COVID-19 and get society back to normal. 'Contact tracing' is a crucial way to detect the infected person. However the contact tracing makes another concern about the privacy violation of the personal data of infected people, released by governments. Therefore Google and Apple are announcing a joint effort to enable the use of Bluetooth technology to help governments and health agencies reduce the spread of the virus, with user privacy and security central to the design. However, in order to provide the improved tracing application, it is necessary to identify potential security threats and investigate vulnerabilities for systematically. In this paper, we provide security analysis of Privacy-Preserving COVID-19 Contact Tracing App with STRIDE and LINDDUN threat models. Based on the analysis, we propose to adopt a verifiable computation scheme, Zero-knowledge Succinctness Non-interactive Arguments of Knowledges (zkSNARKs) and Public Key Infrastructure (PKI) to ensure both data integrity and privacy protection in a more practical way.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.647-654
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• 2023

Deep Learning is a useful method for classifying and recognizing complex data such as images and text, and the accuracy of the deep learning method is the basis for making artificial intelligence-based services on the Internet useful. However, the vast amount of user da vita used for training in deep learning has led to privacy violation problems, and it is worried that companies that have collected personal and sensitive data of users, such as photographs and voices, own the data indefinitely. Users cannot delete their data and cannot limit the purpose of use. For example, data owners such as medical institutions that want to apply deep learning technology to patients' medical records cannot share patient data because of privacy and confidentiality issues, making it difficult to benefit from deep learning technology. In this paper, we have designed a privacy preservation technique-applied deep learning technique that allows multiple workers to use a neural network model jointly, without sharing input datasets, in multi-party system. We proposed a method that can selectively share small subsets using an optimization algorithm based on modified stochastic gradient descent, confirming that it could facilitate training with increased learning accuracy while protecting private information.

• The Journal of the Korea Contents Association
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• v.12 no.10
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• pp.159-168
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• 2012

Freedom of speech is indispensable in Democracy. It is a rink among government agencies. Mass media as institutionalized means which forms public opinion impacts quite a few to a society. Mass media as a life media in our daily lives has characteristics of speed and prompt report. It is difficult to measure the effect on a society. Mass media is a lifeline in democracy because it has freedom of opinion for seeing, listening, speaking, and criticizing about the people's right to know in an information society. Our Constitution also guarantees freedom of the press, information(peoples's right to know), report, the collection of news, and edition. Because an unnecessary thing about a privacy is reported by mass media, it can violate defamation. This study seeks to be unbiased in reporting and what the principles of the Constitution for minimizing an invasion of a person's privacy is. This study also seeks freedom of speech and the right to know. In case that a personal honor is invaded by a mass media and a publication, this study provides the Constitution basis, Criminal Law basis, and Civic Law basis for remedy violation. A report for apology on newspaper and by television was widely used as "a proper punishment for honor recovery in the past". The constitutional court had decided that including the report of apology for "a proper punishment of honor recovery" in the article 764 of the Civic Law as a reason of freedom of conscience and the violation of personal rights was against the Constitution. Therefore, this study examples what is a legal remedy in practical?, where is legal basis of special remedy in the Civic Law, and what is a method by the Press Arbitration Law compared with the examples of other countries. On the other hand, because a mass media may injure a person's honor and infringe a person's privacy, if the report is categorized as a malicious press, the true role which mass media has to do may not demonstrated. In conclusion, this study was to minimalize infringement of mass media to a person and to seek a realistic alternative of a legal remedy.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.8
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• pp.15-23
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• 2016

Recently the interest in secondary use of medical information has emerged. But the domestic legislation or guidelines, such as being able to say that already specialize in healthcare information, can be seen a 'national medical privacy guidelines'. However the guidelines have suggested that only a violation of privacy laws in the medical information, it does not defined clearly with respect to protected health information(PHI) for secondary use. In this paper, we learn the HIPAA(Health Insurance Portability and Accountability Act) Privacy Rule of the US legislation which provides a non-identifiable screen instructions for secondary utilization of medical information, domestic guidelines and other country's guidelines. comparing with the HIPAA, national medical privacy guidelines and the domestic studies, we propose a new domestic target non-identifying information suitable for the domestic field and present future research direction.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.49-58
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• 2019

In the era of the 4th industrial revolution, the development of information technology brought various benefits, but it also increased social interest in privacy issues. As the possibility of personal privacy violation by big data increases, academic discussion about privacy management has begun to be active. While the traditional view of privacy has been defined at various levels as the basic human rights, most of the recent research trends are mainly concerned only with the information privacy of online privacy protection. This limited discussion can distort the theoretical concept and the actual perception, making the academic and social consensus of the concept of privacy more difficult. In this study, we analyze the privacy concept that is exposed on the internet based on 12,000 news data of the portal site for the past one year and compare the difference between the theoretical concept and the socially accepted concept. This empirical approach is expected to provide an understanding of the changing concept of privacy and a research direction for the conceptualization of privacy for current situations.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.1-23
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• 2019

Big data refers to data that is difficult to store, manage, and analyze by existing software. As the lifestyle changes of consumers increase the size and types of needs that consumers desire, they are investing a lot of time and money to understand the needs of consumers. Companies in various industries utilize Big Data to improve their products and services to meet their needs, analyze unstructured data, and respond to real-time responses to products and services. The financial industry operates a decision support system that uses financial data to develop financial products and manage customer risks. The use of big data by financial institutions can effectively create added value of the value chain, and it is possible to develop a more advanced customer relationship management strategy. Financial institutions can utilize the purchase data and unstructured data generated by the credit card, and it becomes possible to confirm and satisfy the customer's desire. CRM has a granular process that can be measured in real time as it grows with information knowledge systems. With the development of information service and CRM, the platform has change and it has become possible to meet consumer needs in various environments. Recently, as the needs of consumers have diversified, more companies are providing systematic marketing services using data mining and advanced CRM (Customer Relationship Management) techniques. KB Kookmin Card, which started as a credit card business in 1980, introduced early stabilization of processes and computer systems, and actively participated in introducing new technologies and systems. In 2011, the bank and credit card companies separated, leading the 'Hye-dam Card' and 'One Card' markets, which were deviated from the existing concept. In 2017, the total use of domestic credit cards and check cards grew by 5.6% year-on-year to 886 trillion won. In 2018, we received a long-term rating of AA + as a result of our credit card evaluation. We confirmed that our credit rating was at the top of the list through effective marketing strategies and services. At present, Kookmin Card emphasizes strategies to meet the individual needs of customers and to maximize the lifetime value of consumers by utilizing payment data of customers. KB Kookmin Card combines internal and external big data and conducts marketing in real time or builds a system for monitoring. KB Kookmin Card has built a marketing system that detects realtime behavior using big data such as visiting the homepage and purchasing history by using the customer card information. It is designed to enable customers to capture action events in real time and execute marketing by utilizing the stores, locations, amounts, usage pattern, etc. of the card transactions. We have created more than 280 different scenarios based on the customer's life cycle and are conducting marketing plans to accommodate various customer groups in real time. We operate a smart offering system, which is a highly efficient marketing management system that detects customers' card usage, customer behavior, and location information in real time, and provides further refinement services by combining with various apps. This study aims to identify the traditional CRM to the current CRM strategy through the process of changing the CRM strategy. Finally, I will confirm the current CRM strategy through KB Kookmin card's big data utilization strategy and marketing activities and propose a marketing plan for KB Kookmin card's future CRM strategy. KB Kookmin Card should invest in securing ICT technology and human resources, which are becoming more sophisticated for the success and continuous growth of smart offering system. It is necessary to establish a strategy for securing profit from a long-term perspective and systematically proceed. Especially, in the current situation where privacy violation and personal information leakage issues are being addressed, efforts should be made to induce customers' recognition of marketing using customer information and to form corporate image emphasizing security.