• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.583-590
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• 2022

With the release of the Bitcoin source in 2009, cryptocurrencies are continuously developing and expanding the market. Recently, new applicability is expanding centered on NFT coin and metaverse payment service. In particular, the Central Cryptocurrency Exchange actively supports relay transactions between cryptocurrencies or between traditional fiat currencies and cryptocurrencies. The cryptocurrency trading market based on such a central exchange encouraged speculative factors of cryptocurrencies, strongly arousing speculation and futility of cryptocurrencies. In addition, the central cryptocurrency exchange induces the centralization of users and virtual assets, thereby hindering the decentralization and security enhancement strategies of the block chain. Therefore, this study describes the current status and problems of centrally controlled centralized cryptocurrency exchanges in service, and presents a distributed cryptocurrency exchange modeling strategy and major issues as a decentralization model of the exchange. This research can strengthen the anonymity, decentralization, and autonomy of cryptocurrency based on blockchain.

• Review of KIISC
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• v.32 no.3
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• pp.19-26
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• 2022

스마트컨트랙트를 사용하는 블록체인 2세대를 넘어오면서 블록체인 생태계는 지속적으로 성장하고 있으며, 블록체인 플랫폼 내에서 자체 발행되는 암호화폐는 다양한 수익 상품들(ICO, DeFi, NFT, Staking 등)을 등장시켰다. 암호화폐가 실물 화폐를 대체할 새로운 대안이라고 여겨지고 있지만, 최근 암호화폐를 악용한 범죄가 증가하고 있다. 특히 시스템을 감염시켜 몸값을 요구하는 랜섬웨어의 경우 기존의 현금을 요구하기보다 자금 세탁에 용이한 암호화폐로 요구하는 빈도가 증가하고 있다. 암호화폐의 경우 손쉽게 믹싱 서비스를 받을 수 있으며, 블록체인의 특성상 모든 트랜잭션을 확인할 수 있음 제3의 신뢰기관이 존재하지 않으며 모든 네트워크는 계좌로 연결되기 때문에 익명성이 보장되어 범죄자들이 자금세탁에 이용하고 있다. 본 논문을 통해 랜섬웨어에 사용되는 암호화폐 자금세탁 사례를 살펴보고 자금 세탁 시 사용되는 믹싱 서비스에 대해서 분석했다. 또한 불법 자금세탁을 식별하기 위한 기술적 연구 동향에 대해서 분석하였다.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.287-308
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• 2022

The explosive growth of cryptocurrency, led by Bitcoin has emerged as a major issue in the financial market recently. As a result, interest in cryptocurrency investment is increasing, but the market opens 24 hours and 365 days a year, price volatility, and exponentially increasing number of cryptocurrencies are provided as risks to cryptocurrency investors. For that reasons, It is raising the need for research to reduct investors' risks by dividing cryptocurrency which is not suitable for recommendation. Unlike the previous studies of maximizing returns by simply predicting the future of cryptocurrency prices or constructing cryptocurrency portfolios by focusing on returns, this paper reflects the tendencies of investors and presents an appropriate recommendation method with interpretation that can reduct investors' risks by selecting suitable Altcoins which are recommended using Apriori algorithm, one of the machine learning techniques, but based on the similarity and association rules of Bitocoin.

• Journal of Platform Technology
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• v.8 no.4
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• pp.29-37
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• 2020

We propose a plan to reduce the operational risk of domestic cryptocurrency exchanges for protecting cryptocurrency exchange users and establishing a stable operating environment. For market participants using cryptocurrency exchanges, cryptocurrency exchange risk is greater than the price risk. In the cryptocurrency market, illegal transactions using the anonymity of cryptocurrency are occurring frequently. In addition, loss accidents due to cybercrimes and insider corruptions are continuing. And the resulting losses are passed on to the users of the exchange. In terms of operational risk, we analyze the current situation of domestic cryptocurrency exchanges and present the direction of development of each exchange platform to attract and protect users.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.608-614
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• 2021

Currently, blockchain-based public cryptocurrency (hereinafter referred to as cryptocurrency) cannot acquire status as a currency for transaction due to the economic policies of each country, but it is used as an alternative currency transaction method due to individual circumstances of some Internet users. With this trend, it is predicted that such cryptocurrency can be used in real life beyond the Internet in the near future. In this paper, a technical method for designing a cryptocurrency payment system based on LoRaWAN that can easily build a wireless Internet network infrastructure at low cost as a way to activate the use of cryptocurrency in real life is presented based on the LoRaWAN standard.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.448-451
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• 2022

주식과 암호화폐 거래는 매매방식에 있어서 유사한 점이 있지만 기업의 사업분야, 자본금, 순이익 등의 경영현황과 미래가치에 영향을 많이 받는 주식과는 다르게 암호화폐는 실물 실체가 없으며 탈중앙화, 전산화된 데이터를 기반으로 하며 심리적인 요소가 크게 작용하여 단기적인 변동이 클 수 있다. 본 연구에서는 이러한 암호화폐 거래의 특성을 활용하여 특정 암호화폐에 관련된 뉴스기사들을 수집하고 그 암호화폐의 가격 변화 데이터와 연관되어 가격예측 딥러닝 모델을 생성하고 해당 암호화폐에 대한 신규 뉴스기사가 발생되었을 때 이를 이용하여 매수, 매도, 관망 등과 같은 매매 정보를 예측 적용할 수 있게 하였다. 첫째, 뉴스 기사에서 언급한 암호화폐를 매수, 매도, 관망 중 어느 편이 좋을 것인지 추천하는 알고리즘을 구현하였고, 둘째, 매수 이후 매매 차익을 위한 매도 시점이나 매도 이후 저가매수에 유리한 시점을 제안하는 알고리즘을 구현하였다. 또한, 실시간 뉴스기사 수집 및 예측한 매매 판단에 따라 매매 자동화 시스템을 구현하여 수익률을 직접 확인함으로써 그 유효성을 검증하였다.

• Information Systems Review
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• v.22 no.1
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• pp.33-57
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• 2020

Although cryptocurrency which can promote innovation in the blockchain ecosystem is published for many useful purposes, in Korea, cryptocurrency is recognized only as a means of investment for the profit. The fact emphasizes only the speculative nature of the cryptocurrency, so investor negates the fundamental purpose of cryptocurrency and hinders innovation in the blockchain ecosystem. The purpose of this study is to investigate the cause of cryptocurrency perception and speculative behavior of domestic cryptocurrency investors from an academic perspective. We use a model that reflects the traditional considerations and cryptocurrency's characteristics in investment. Using the model, we can explain the cause of misperception of cryptocurrency through the theory of bounded rationality. In building the research model, we use variables of venture and angel investor's consideration used in investment decisions and collect the keywords from indexes of whitepaper to reflect the properties of cryptocurrency. This study mentions that, due to the imitations presented by Simon, individuals are forced to perceive cryptocurrency as a means of speculation and to make irrational decisions that impair ecosystem health. We analyze whether there is a significant difference in rationality in decision made by the sample under limited knowledge and imperfect information constraints. As a result, imperfect information constraints led investors to consider only irrational criteria in decision making. From this result, this study suggests that information asymmetry needs to be relaxed so that investment can be pursued together with rational investment and development of blockchain ecosystem. In addition, the industry can capture strategic insights for successful financing through ICO by enabling better understanding of investor decision-making.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.466-469
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• 2021

최근 암호화폐가 발전함에 따라 다양한 연구들이 진행되고 있지만 그 중에서도 암호화폐의 가격 예측 연구들이 활발히 진행되고 있다. 특히 이러한 예측 분야에서도 인공지능 기술을 접목시켜 암호화폐 가격의 예측 정확도를 높이려는 노력들이 지속되고 있다. 인공지능 기반의 기법들 중 시간적 정보를 가진 데이터를 기반으로 하고 있는 LSTM(Long Short-Term Memory) 모델이 다각도로 활용되고 있으나 급등락하는 암호화폐 가격 데이터가 많을 경우에는 그 성능이 상대적으로 낮아질 수 밖에 없다. 따라서 본 논문에서는 가격이 급등락하고 있는 Bitcoin, Ethereum, Dash 암호화폐 데이터 환경에서 LSTM 모델의 예측 성능이 향상될 수 있는 세부 하이퍼 파라미터 값을 실험 및 분석하고, 그 결과의 의미에 대해 고찰한다. 이를 위해 LSTM 모델에서 향상된 예측률을 보일 수 있는 epoch, hidden layer 수, optimizer 에 대해 분석하였고, 최적의 예측 결과를 도출해 줄 수 있는 최소 training data 개수도 함께 살펴보았다.

• Journal of the Korea Convergence Society
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• v.10 no.12
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• pp.215-221
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• 2019

The development of blockchain-based art trading platforms has not been revitalized despite the recent recovery of the cryptocurrency market. In this paper, we found that blockchain-based art trading platform is not revitalized due to the large volatility of cryptocurrency price. As a solution, we propose a trading system using dual types of cryptocurrency that one is Stablecoin and the other is legacy cryptocurrency. Through cryptocurrency dualization, the proposed system can satisfy both user's requirements of stability of art price and value growth of the blockchain system. In addition, the proposed system is expected to be able to balance the use of dual cryptocurrencies and market capitalization ratios according to market principles. Finally, the proposed cryptocurrency dualization is expected to be used in other applications that require both the stability of the value of transactions and the growth of the value of the blockchain system.

• Journal of the Korea Convergence Society
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• v.10 no.10
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• pp.1-6
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• 2019

As the value of technical information increases, hacking attacks are trying to steal technical information through hacking. Recently, hacking of cryptocurrency exchanges is much easier to monetize than existing technical information, making it a major attack target for hackers. In the case of technical information, it is required to seize the technical information and sell it to the black market for cashing.In the case of cryptocurrency, most hacking attacks are concentrated on cryptocurrency exchanges because it is easy to cash out and not easy to track when successful hacking. Although technology cannot be hacked, cryptocurrency transactions traded on cryptocurrency exchanges are not recorded on the blockchain which is simply internal exchanges, so insiders may manipulate the quotes and leave gaps or leak out. Therefore, this research analyzes the recent hacking attacks of cryptocurrency exchanges and proposes solutions to secure cryptocurrency trading.