• KNOM Review
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• v.24 no.2
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• pp.1-12
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• 2021

Recently, research on CBDC (Central Bank Digital Currency) has been actively conducted for various reasons by countries around the world. In addition, with the dazzling development of blockchain technology, blockchain technology is being adopted in CBDC. In this paper, we propose a blockchain-based CBDC system that can be effectively used in the traditional banking system. We also analyze the requirements of CBDC and suggest ways to commercialize CBDC. We present a system design and implementation method, especially in terms of compatibility, interoperability, and privacy.

• Journal of Broadcast Engineering
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• v.23 no.5
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• pp.701-713
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• 2018

The purpose of this paper is to analyze the changes of the digital music platforms and digital profit distribution issues which are considered to be the most important part of the application to the Global music industry based on the block chain system. This attempt is not to reveal the success of the block chain and the value judgment in the societies that will come in the future. How to apply the original function of the block chain in the field of the music industry, which has changed a lot in the digital era, this paper focused on what we need to work on. First, I will briefly review the structure and major functions of the block chain system and the crypto-currency, and examine the link between the blockchain and the music industry. In addition, I will focus on some overseas' cases that are actually applied, and examine the possibility of applying them in the domestic music industry. Through this, I expect that this article will become a cornerstone for discussing the development direction of the music industry, especially the Korean music industry, which is constantly changing due to the technological advancement process.

• Journal of Internet Computing and Services
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• v.21 no.2
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• pp.65-72
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• 2020

In this paper, a USB module with fingerprint recognition was designed as a distributed node of blockchain on distributed ID (DID, distributed ID) for user identification. This biometric-linked fingerprint recognition device was verified for the real-time authentication process of authentication transaction with FIDO(Fast IDentity Online) server. Blockchain DID-based services were proposed like as a method of individual TV rating survey, and recommending service for customized shopping channels, and crypto-currency, too. This DID based remote service can be improved by recognizing of channel-changing information through personal identification. The proposed information of production purchase can be shared by blockchain. And customized service can be provided for the utilization of purchase history in shoppingmall using distributed ID. As a result, this blockchain node-device and Samsung S10 Key-srore with FIDO service can be certified for additional transactions through various biometric authentication like fingerprint, and face recognition.

• Journal of Information Technology Services
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• v.16 no.2
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• pp.33-44
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• 2017

The financial industry recently introduces several issues for utilizing the blockchain technology as the core infrastructure of future finance. Blockchain, first introduced as the underlying technology of Crypto-currencies, Bitcoin is a technology that can ensure the integrity and reliability of data by verifying, recording, and storing data jointly in the network without a central administration organization or a manager. This blockchain has its potential power as a technology for issuing digital currencies, providing transparency, and securing record management, that is expected to be useful in the financial sector. At the same time, considering the characteristics of financial transactions which emphasize privacy, questions are raised about whether a blockchain structure in which information is distributed and shared among participants can be successful. How will we support to implement the potential of the blockchain in order to change the paradigm of the financial industry? How can we manage the side effects of blockchain effectively? Such a policy discussion is necessary. This study introduces the meaning of the blockchain technology, various utilization attempts, and possible problems facing technology from the viewpoint of financial industry, and suggests a policy direction for utilizing this technology as a catalyst to the progress of the financial industry or as a new technology power.

• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1029-1035
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• 2019

In recent years, artificial intelligence (AI) services have become one of the most essential parts to extend human capabilities in various fields such as face recognition for security, weather prediction, and so on. Various learning algorithms for existing AI services are utilized, such as classification, regression, and deep learning, to increase accuracy and efficiency for humans. Nonetheless, these services face many challenges such as fake news spread on social media, stock selection, and volatility delay in stock prediction systems and inaccurate movie-based recommendation systems. In this paper, various algorithms are presented to mitigate these issues in different systems and services. Convolutional neural network algorithms are used for detecting fake news in Korean language with a Word-Embedded model. It is based on k-clique and data mining and increased accuracy in personalized recommendation-based services stock selection and volatility delay in stock prediction. Other algorithms like multi-level fusion processing address problems of lack of real-time database.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.8
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• pp.249-258
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• 2022

Since the advent of Bitcoin, various virtual assets have been actively traded through virtual asset services of virtual asset exchanges. Recently, security accidents have frequently occurred in virtual asset exchanges, so the government is obligated to obtain information security management system (ISMS) certification to strengthen information protection of virtual asset exchanges, and 56 additional specialized items have been established. In this paper, we compared the domain importance of ISMS and CryptoCurrency Security Standard (CCSS) which is a set of requirements for all information systems that make use of cryptocurrencies, and analyzed the results after mapping them to gain insight into the characteristics of each certification system. Improvements for 4 items of High Level were derived by classifying the priorities for improvement items into 3 stages: High, Medium, and Low. These results can provide priority for virtual asset and information system security, support method and systematic decision-making on improvement of certified items, and contribute to vitalization of virtual asset transactions by enhancing the reliability and safety of virtual asset services.

• Korean Security Journal
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• no.62
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• pp.9-33
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• 2020

This study presents aspects of the financing of terrorism using virtual-currencies. Fisrt of all, this introduces the conventional threat of the financing of terrorism and the analysis of current legal system regarding virtual-currency in South Korea. Next, the financing of terrorism cases are analyzed. With given analysis, the paper deals with its response and future extensions by technical and institutional aspects. The threats of the financing of terrorism are going higher after the appearance of virtual-currencies such as Bitcoin. There are two typical ways to use virtual-currencies by terrorist groups. One is to conduct public fund-raising in the social network system and the dark web. The other is to hack into virtual-currency exchange network in order to steal virtual currencies for developing the weapon of mass destruction. Specifically South Korea is top three country of trading virtual currencies and has been subject to virtual-currency hacking more than 10 cases. However, many countries including South Korea deal with virtual currencies as only innovative technology and means of investment, not the threats of the financing of terrorism. Under these circumstances, there a the legal contradiction. This article points this limit and absurdity. Also, it shows reasonable alternatives. All in all, given these aspects, the article proposes detailed policy directions.

• Journal of Digital Convergence
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• v.16 no.8
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• pp.201-210
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• 2018

High expectations are posed on the blockchain-based internet of things (IoT), in which IoT and blockchain technology is combined to obtain trust in the Internet, where trust appears impossible to obtain. However, applications of current blockchain-based IoT technology to real-world scenarios appears to be significantly more difficult owing to limitations regarding scalability and security. In this paper, the difficulties to implement blockchain networking technologies for IoT and digital businesses are investigated and practical solutions such as sharding, off-chain, de-idetification and P2P crypto-currency exchange are explored. In further work, a blockchain platform for IoTs which provides scalability and security will be implemented according to this research results, and compared with conventional blockchain platforms.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.2
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• pp.309-320
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• 2019

Blockchain has been developed as a key technology for many cryptocurrency systems such as Bitcoin. These days, blockchain technology attracts many people to adopt it to various fields beyond cryptocurrency systems for their information sharing and processing. However, with the development and increasing adoption of the blockchain, security incidents frequently happen in the blockchain systems due to their implementation flaws. In order to solve this problem, in this paper, we analyze the software vulnerabilities of Bitcoin and Ethereum, which are the most widely used blockchain applications in real world. For that purpose, we conduct an in-depth analysis of source code of them to detect software vulnerabilities, and examine an OS command injection attack exploiting the detected ones.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.6
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• pp.1319-1328
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• 2018

A blockchain system developed for crypto-currency has attractive characteristics, such as de-centralization, distributed ledger, and partial anonymity, making itself adopted in various fields. Among those characteristics, partial anonymity strongly assures privacy of users, but side effects such as abuse of crime are also appearing, and so countermeasures for circumventing such abuse have been studied continuously. In this paper, we propose a machine-learning based method for classifying smart contracts in Ethereum regarding their functions and design patterns and for identifying user behaviors according to them.