• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제10권2호
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• pp.47-52
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• 2021

블록체인 기술이 발전함에 따라 블록체인 블록에 대한 암호화 또한 중요시되고 있다. 블록체인에서의 암호화는 트랜잭션을 생성한 사람의 신원보안과, 과거 블록의 정보를 조작 할 수 없도록 하게 이용된다. 하지만 암호화의 보안성을 증가시키면 블록체인의 가장 큰 단점중의 하나인 블록생성의 속도가 감소하게 된다. 따라서 본 논문에서는 블록체인에 사용되는 OTP의 현황과 성능을 비교하여 현재 OTP의 성능 및 블록체인의 성능저하를 최소화 할 수 있는 방안을 제시한다.

• International journal of advanced smart convergence
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• 제12권3호
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• pp.40-50
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• 2023

Blockchain is a technology designed to prevent tampering with digital documents or information, safeguarding transaction data and managing it in a structured manner. This proves beneficial in addressing issues of trust and data protection in B2B, B2C, and C2B transactions. Blockchain finds utility not only in financial transactions but also across diverse industrial sectors. This study outlines significant cases and responses that jeopardize the security of blockchain networks and cryptocurrency technology. Additionally, it analyzes safety and risk factors related to blockchain and proposes effective testing methods to preemptively counter these challenges. Furthermore, this study presents key security evaluation metrics for blockchain to ensure a balanced assessment. Additionally, it provides evaluation methods and various test case models for validating the security of blockchain and cryptocurrency transaction services, making them easily applicable to the testing process.

• 식품과학과 산업
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• 제54권3호
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• pp.132-144
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• 2021

비트코인으로 인해 블록체인에 대한 관심이 상당히 높아졌다. 대부분의 일반 사람들은 블록체인은 가상화폐라고 의미를 부여하고 의구심을 갖는다. 그러나 앞서 블록체인에 대한 이해를 통해 가상화폐는 블록체인 시스템을 유지하기 위한 보상 체계의 부산물일 뿐이라는 사실을 알 수 있다. 블록체인을 가상화폐 측면이 아닌, 데이터의 분산성, 확장성, 투명성, 보안성, 안정성 등의 측면에서 바라본다면 향후 그 가치가 매우 큼을 추정할 수 있다. 이를 식품 산업에 활용하여 식품 제조 및 유통에 적극 반영하여 최종 소비자에게 신뢰할 수 있는 안전한 먹거리를 제공하는 것에 가치를 부여하면 좋을 것이라는 결론에 다다랐다. 결론적으로 블록체인은 항상 서비스 시스템이 실시간으로 감시하고 있으므로, '누구도 이미 만들어진 데이터를 원하는 대로 조작할 수 없다'라고 이해를 하면 될 것이고 이를 어떻게 활용할지 여부에 대해서는 식품 도메인을 잘 알고 있는 연구자 여러분의 몫이 될 것이다.

• 한국IT서비스학회지
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• 제20권6호
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• pp.107-123
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• 2021

Recently, there have been a number of researchers in the field of education who are actively exploring the educational applications of Blockchain technology, even though it is still in its infancy. Some researchers have been investigating its application in educational administration to issue academic credentials' or maintain student records with distributed ledger, which is the basis of Blockchain technology. Whereas, others have been examining its application in redesigning learning systems that are being used in various contexts, including online learning and lifelong education. In that vein, this paper aims to discuss a liberal arts education system which will be supported by Blockchain-based 'smart contracts'. At present, active efforts are being made to innovate liberal arts education in Korea, centered around government-funded university innovation projects and there have been reports of great achievements. However, if the Blockchain technology is applied to innovating the liberal arts education, we will innovate not only the liberal arts education but also university education as a whole. In this paper, there are suggestions on how to build a learner-centered educational environment where a liberal arts education system is supported by Blockchain-based smart contracts. First of all, the current innovation in liberal arts education and its limitations are discussed, followed by ways in which Blockchain-based smart contracts can reframe the liberal arts education system. Last but not least, the paper addresses implications of the Blockchain technology applications in liberal arts education, along with their future prospects.

• ETRI Journal
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• 제45권6호
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• pp.982-995
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• 2023

Technological innovation generates products, services, and processes that can disrupt existing industries and lead to the emergence of new fields. Distributed ledger technology, or blockchain, offers novel transparency, security, and anonymity characteristics in transaction data that may disrupt existing industries. However, research attention has largely examined its application to finance. Less is known of any broader applications, particularly in Industry 4.0. This study investigates academic research publications on blockchain and predicts emerging industries using academia-industry dynamics. This study adopts latent Dirichlet allocation and dynamic topic models to analyze large text data with a high capacity for dimensionality reduction. Prior studies confirm that research contributes to technological innovation through spillover, including products, processes, and services. This study predicts emerging industries that will likely incorporate blockchain technology using insights from the knowledge structure of publications.

• 유통과학연구
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• 제17권11호
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• pp.93-101
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• 2019

Purpose: Blockchain technology suggests ways to solve the problems in the existing industry. Among them, Cryptocurrency system, which is an element of Blockchain technology, is a very important factor for operating Blockchain. While Blockchain cryptocurrency has attracted attention, studies on cryptocurrency prices have been mainly conducted, however previous studies mainly conducted on Bitcoin prices. On the other hand, in the context of the creation and trading of various cryptocurrencies based on the Blockchain system, little research has been done on cryptocurrencies other than Bitcoin. Hence, this study attempts to find variables related to the prices of Dash, Litecoin, and Monero cryptocurrencies using machine learning techniques. We also attempt to find differences in the variables related to the prices for each cryptocurrencies and to examine machine learning techniques that can provide better performance. Research design, data, and methodology: This study performed Dash, Litecoin, and Monero price prediction analysis of cryptocurrency using Blockchain information and machine learning techniques. We employed number of transactions in Blockchain, amount of generated cryptocurrency, transaction fees, number of activity accounts in Blockchain, Block creation difficulty, block size, umber of created blocks as independent variables. This study tried to ensure the reliability of the analysis results through 10-fold cross validation. Blockchain information was hierarchically added for price prediction, and the analysis result was measured as RMSE and MAPE. Results: The analysis shows that the prices of Dash, Litecoin and Monero cryptocurrency are related to Blockchain information. Also, we found that different Blockchain information improves the analysis results for each cryptocurrency. In addition, this study found that the neural network machine learning technique provides better analysis results than support-vector machine in predicting cryptocurrency prices. Conclusion: This study concludes that the information of Blockchain should be considered for the prediction of the price of Dash, Litecoin, and Monero cryptocurrency. It also suggests that Blockchain information related to the price of cryptocurrency differs depending on the type of cryptocurrency. We suggest that future research on various types of cryptocurrencies is needed. The findings of this study can provide a theoretical basis for future cryptocurrency research in distribution management.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.262-270
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• 2022

In the past two decades, there has been an increasing interest in project knowledge management, as knowledge is a crucial resource for project management success. Knowledge capture and sharing are two effective project management practices. Capturing and sharing project knowledge has become more efficient due to technological advances. Nevertheless, present technologies face several technical, functional, and usage obstacles and constraints. Thus, Blockchain technology might provide promising answers, yet, there is still a dearth of understanding regarding the technology's proper and practical application. Consequently, the goal of this study was to fill the gap in the literature about the adoption of Blockchain technology and to investigate the project stakeholders' acceptance and willingness to utilize the technology for capturing and sharing project knowledge. Due to this inquiry's exploratory and inductive characteristics, qualitative research methodology was used, namely the Grounded Theory research approach. Accordingly, eighteen in-depth, semi-structured interviews were conducted to collect the data. Concurrent data collection and analysis were undertaken, with findings emerging after three coding steps. Four influencing factors and one moderating factor were identified as affecting users' acceptance of Blockchain technology for capturing and sharing project knowledge. Consequently, the results of the study aimed to fill a gap in the existing literature by undertaking a comprehensive analysis of the unrealized potential of Blockchain technology to improve knowledge capture and sharing in the project management environment.

• 한국전자거래학회지
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• 제23권3호
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• pp.173-187
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• 2018

2008년 사토시 나카모토(Satoshi Nakamoto)가 중앙 금융기관 없이 개인과 개인 간의 온라인 지불을 가능하게 하기 위하여 P2P(peer to peer) 네트워크를 이용한 이중지불 문제의 해결을 포함한 '비트코인(Bitcoin)'이라는 개인 간 전자화폐 시스템을 제안한 이후 블록체인은 4차 산업혁명에서 산업혁명 사이클 전주기에 영향을 미치는 범용기술로서 자리를 잡아가고 있다. 본 연구에서는 블록체인이 이러한 범용기술로서의 급격한 확산과 활용이 혁신이론 관점에서 어떠한 혁신성을 가지고 있는지를 분석하였다. 분석결과 블록체인은 '물리적 기술'의 특성뿐만 아니라 인간의 사회적 상호작용을 위한 '사회적 기술'로서의 특성을 가지고 있어 기술혁신과 사회혁신을 동시에 수반하는 혁신성을 가지고 있었다. 블록체인의 다양한 혁신성에 대한 본 연구의 접근은 블록체인의 이해를 높이고 향후 정책적 의사결정에 유용성을 제공할 것으로 기대된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권7호
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• pp.2286-2304
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• 2022

Blockchain is a distributed ledger that combines technologies such as cryptography, consensus mechanism, peer-to-peer transmission, and time stamping. The rapid development of blockchain has attracted attention from all walks of life, but storage scalability issues have hindered the application of blockchain. In this paper, a scalable blockchain storage model based on Distributed Hash Table (DHT) and the InterPlanetary File System (IPFS) was proposed. This paper introduces the current research status of the scalable blockchain storage model, as well as the basic principles of DHT and the InterPlanetary File System. The model construction and workflow are explained in detail. At the same time, the DHT network construction mechanism, block heat identification mechanism, new node initialization mechanism, and block data read and write mechanism in the model are described in detail. Experimental results show that this model can reduce the storage burden of nodes, and at the same time, the blockchain network can accommodate more local blocks under the same block height.

• 산업융합연구
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• 제18권1호
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• pp.73-78
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• 2020

이 연구에서는 블록체인 기술의 활용과 관련된 주요 토픽을 분석하기 위해 신문기사에 나타난 '블록체인 기술 활용' 빅데이터를 토픽 모델링기법을 적용하였다. 이를 위해 2013년부터 2019년까지, 21개의 신문사로부터 15,617건을 대상으로 토픽을 추출하고 주요 트렌트를 시기별로 구분하여 분석하였다. 분석결과 블록체인기술 활용과 관련된 기사는 2015년부터 기하급수적으로 증가하였으며 IT_과학 분야와 경제 분야에 집중되었다. 기간에 따라 차이는 있지만 암호화폐, 비트코인, 가상화폐와 관련된 키워드의 가중치가 높았다. 금융거래에 집중되었던 블록체인기술은 빅데이터, 사물인터넷, 인공지능으로 점차 확대되었다. 이에 따라 기업의 토픽 변화도 함께 이루어져 금융거래를 위한 은행에서 다양한 분야로 확대되면서 대기업과 글로벌기업으로 집중되었다. 이 연구를 통해 블록체인기술의 활용과 관련한 신문기사의 주요 토픽과 함께 이러한 토픽들이 어떠한 변화추이를 보이고 있는지에 대해 확인할 수 있었다.