• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.189-192
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• 2018

사토시 나카모토는 비트코인 논문을 통해서 P2P 네트워크에 기반을 둔 전자화폐인 비트코인을 제안하였다. 비트코인은 블록체인과 합의 알고리즘을 이용해 금융기관이 필요 없는 전자화폐 기술이며 이에 대한 관심이 높아지면서 비트코인에 관련된 다양한 보안 문제들이 발견되었다. 본 논문에서는 비트코인에서 발생할 수 있는 네트워크 관련 취약점을 기술하고 이에 대한 대응 방안을 분석한다.

• Journal of Internet Computing and Services
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• v.23 no.5
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• pp.103-110
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• 2022

Botnets have been exploited for a variety of purposes, ranging from monetary demands to national threats, and are one of the most threatening types of attacks in the field of cybersecurity. Botnets emerged as a centralized structure in the early days and then evolved to a P2P structure. Bitcoin is the first online cryptocurrency based on blockchain technology announced by Satoshi Nakamoto in 2008 and is the most widely used cryptocurrency in the world. As the number of Bitcoin users increases, the size of Bitcoin network is also expanding. As a result, a botnet using the Bitcoin network as a C&C channel has emerged, and related research has been recently reported. In this study, we propose an encrypted botnet C&C communication mechanism and technique in the Bitcoin network and validate the proposed method by conducting performance evaluation through various experiments after building it on the Bitcoin testnet. By this research, we want to inform the possibility of botnet threats in the Bitcoin network to researchers.

• Review of KIISC
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• v.26 no.2
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• pp.25-30
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• 2016

비트코인(Bitcoin)은 P2P 네트워크상에 존재하는 실물 없는 화폐이다. 비트코인의 특징은 발행 기관의 통제가 없는 분산 구조를 형성하고 네트워크가 연결된 곳 어디에서나 거래가 이루어질 수 있도록 신뢰성을 부여하고 있다는 것이다. 이러한 특징의 비트코인은 최초 등장 이래 하루 평균 약 21만 건, 1억 7천만 달러가 거래되는 규모로 성장했다. 화폐로서의 가치가 증가함에 따라 부당 이득을 취하려는 위협 또한 증가하게 될 것이다. 대표적으로 비트코인을 위협하는 행위로는 이중 지불, 부정 인출 등을 그 사례로 볼 수 있다. 하지만 아직까지 성장 단계에 있는 비트코인을 대상으로 발생될 수 있는 위협에 대한 인지는 부족한 실정이다. 이에 본 논문에서는 비트코인 신뢰 구조를 살펴보고 이를 기반으로 발생할 수 있는 다양한 위협들을 분석하고 대응방향을 제시하고자 한다.

• KNOM Review
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• v.22 no.1
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• pp.68-76
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• 2019

Bitcoin, based on the blockchain technology is an online crypto-currency developed by Satoshi Nagamoto. Bitcoin, which was first issued on January 3, 2009, is rapidly evolving with increasing number of transactions. However, untoward incidents are occurring due to an increase in the number of Bitcoin transactions. Predicting the number of Bitcoin transactions is important to prepare for any issues that can occur in the Bitcoin network. This paper proposes to design model for predicting the number of Bitcoin transactions by applying two machine learning algorithms and then a model for predicting the number of Bitcoin transactions through experiments.

• KNOM Review
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• v.23 no.1
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• pp.26-33
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• 2020

Bitcoin is an electronic money that does not rely on centralized institutions such as banks and financial institutions, unlike the world's paper currencies such as dollar, won, euro and yen. In Bitcoin network, a block with transaction details is generated by mining, and the message that the block has been created is broadcast to all participating nodes in a broadcasting method to secure reliability through verification. Likewise, the mining and block propagation methods in the Bitcoin network are greatly affected by the performance of the P2P network. For example, in the case of mining, the node receiving the reward for mining varies depending on whether the block is first mined in the network and the proof of mining is propagated faster. In this paper, we applied local characteristics and Round-to-Trip(RTT) measurement to solve the problems of the existing neighbor connection method and block propagation method performed in Bitcoin network. An algorithm to improve block propagation speed is presented. Through experiments, we compare the performance of the improved algorithm with the existing algorithm to verify that the overall block propagation time is reduced.

• KNOM Review
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• v.21 no.2
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• pp.18-25
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• 2018

Since the development of block-chain technology by Satoshi Nakamoto and Bitcoin pioneered a new cryptocurrency market, a number of scale of cryptocurrency have emerged. There are crimes taking place using the anonymity and vulnerabilities of block-chain technology, and many studies are underway to improve vulnerability and prevent crime. However, they are not enough to detect users who commit crimes. Therefore, it is very important to detect abnormal behavior such as money laundering and stealing cryptocurrency from the network. In this paper, the characteristics of the transactions and user graphs in the Bitcoin network are collected and statistical information is extracted from them and presented as plots on the log scale. Finally, we analyze visualized plots according to the Densification Power Law and Power Law Degree, as a result, present features appropriate for detection of anomalies involving abnormal transactions and abnormal users in the Bitcoin network.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.114-115
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• 2018

Recently in Bitcoin raising a social issue is sometimes called a horizontal and decentralized digital virtual currency utilizing the Blockchain technology such as a type of password currency. On the other hand, the Blockchain, which is a distributed ledger shared on P2P networks and it was first used in Bitcoin. These technologies are regarded as technologies that can be applied diversely in other fields, and are attracting high social interest. Looking at recent trends in the virtual currency market such as Bitcoin, price movements have increased since the Japanese government approved the virtual currency as a means of settlement last year. Therefore, we try to present theoretical practical suggestion through the viewpoint of the Blockchain technology which is core technology of Bitcoin based on innovative technology.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.386-389
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• 2018

블록체인 기반 자판기는 현재 관심이 높아지고 있는 비트코인 등의 가상 화폐 시스템을 오프라인 결제에 활용하는 것으로 가상 화폐가 기존의 결제수단을 대체할 것으로 예상되는 미래에 적합한 스마트 시스템이다. 현재 상용화되어 있는 가상 화폐 결제의 문제점으로는 거래를 주고 받는 시점의 시간 차이다. 본 논문에서는 비트코인 네트워크를 기반으로 오프라인 거래가 가능한 자판기 구현 과정에 대해 설명하고 더 나아가 가상 화폐 결제의 한계점을 극복할 수 있는 방안을 제안한다.

• Review of KIISC
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• v.28 no.3
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• pp.26-32
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• 2018

최초의 암호화폐인 비트코인의 등장과 함께 그 기반기술인 블록체인에 대한 국내외의 관심이 증가하는 가운데 국외에서는 블록체인의 확장성 문제에 대한 논의가 활발히 이루어지고 있다. 블록체인은 시스템을 관리하는 중앙기관 대신 네트워크의 사용자들의 합의에 기반하여 시스템을 유지한다. 신뢰할 수 없는 사용자 간의 합의를 위해 작업증명이라는 신뢰성 보장을 위한 기술을 사용하였고 이로 인해 비트코인과 같은 퍼블릭 블록체인은 제한된 처리량을 가지게 되었다. 현재까지 알려진 대부분의 공격들이 이러한 제한된 처리량으로 인한 처리 지연으로 공격 성공률이 증가하기 때문에 확장성 문제 해결을 위한 연구가 필요한 실정이다. 본 논문에서는 현재 알려진 퍼블릭 체인에서의 보안 위협을 분석하고 확장성 문제와 함께 현재 알려진 확장성 문제 솔루션에 대한 소개 및 앞서 서술한 보안 위협과의 연관성에 대해 분석한다.

• KNOM Review
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• v.22 no.3
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• pp.20-24
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• 2019

Blockchain is a distributed ledger-based technology where all nodes participating in the blockchain network are connected to the P2P network. When a transaction is created in the blockchain network, the transaction is propagated and validated by the blockchain nodes. The verified transaction is sent to peers connected to each node through P2P network, and the peers keep the transaction in the memory pool. Due to the nature of P2P networks, the number and type of transactions delivered by a blockchain node is different for each node. As a result, all nodes do not have the same memory pool. Research is needed to solve problems such as attack detection. In this paper, we analyze transactions in the memory pool before solving problems such as transaction fee manipulation, double payment problem, and DDos attack detection. Therefore, this study collects transactions stored in each node memory pool of Bitcoin and Ethereum, a cryptocurrency system based on blockchain technology, and analyzes how much common transactions they have using jacquard similarity.