• 제목/요약/키워드: Blockchain Information

검색결과 749건 처리시간 0.025초

개인 의료정보 보호를 위한 블록체인 적용 방안: 프라이빗 블록 스킴을 중심으로 (A Blockchain Application for Personal health information: Focusing on Private Block Scheme)

  • 권혁준;김협;최재원
    • 지식경영연구
    • /
    • 제19권4호
    • /
    • pp.119-131
    • /
    • 2018
  • In this paper, I research the issue of information security for medical information system of each parties. The outflow of the Personal medical information can lead to problems of medical systems and disadvantage to an individual. In this paper, we research the information security based on a blockchain. In addition, I have analyzed blockchain. I suggest a medical information system framework that can help to keep the privacy of patients by using a blockchain network. Also, In this paper try to explain using private blockchain for medical system. Blockchain can keep the integrity and transparency of the medical records. This research, shows how can build the private blockchain for medical records and how to get the integrity of Data from Private Blockchain and Distuributed Ledger Technology.

머신러닝 기법을 활용한 암호화폐 유통 가격 예측 연구 (A Study on Predicting Cryptocurrency Distribution Prices Using Machine Learning Techniques)

  • 김한민;김호익
    • 유통과학연구
    • /
    • 제17권11호
    • /
    • pp.93-101
    • /
    • 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.

머신러닝 기법을 활용한 블록체인의 엉클블록 분석 연구 (A Study on Uncle Block Analysis of Blockchain Using Machine Learning Techniques)

  • 김한민
    • 경영정보학연구
    • /
    • 제22권1호
    • /
    • pp.1-16
    • /
    • 2020
  • 블록체인은 시스템에 참여하는 사용자들 사이에 믿음을 확보할 수 있는 기술로 떠오르고 있다. 블록체인에 대한 관심이 높아지면서 선행 연구들은 블록체인 기술에 관련된 암호화폐와 적용방안에 대한 연구를 주로 수행하였다. 반면에 블록체인의 안정적인 구동에 대한 연구는 크게 주목하지 않았다. 대표적으로 블록체인의 엉클블록은 블록체인 시스템의 안정적 구동에 중요한 역할을 담당함에도 불구하고 이에 대한 연구는 거의 수행되지 않았다. 이러한 인식을 기반으로 본 연구는 블록체인 정보와 거시 경제 요인들을 활용하여 블록체인의 엉클블록을 머신러닝 기법으로 예측하고자 하였다. 인공신경망, 서포트벡터머신 분석 결과, 블록체인 정보와 거시 경제 요인들은 블록체인의 엉클블록 예측에 기여하는 것으로 나타났다. 또한, 블록체인 정보만을 활용한 인공신경망은 엉클블록의 발생을 예측하는데 가장 우수한 성능을 제공하는 것으로 나타났다. 본 연구는 정보시스템 분야에서 블록체인 연구를 주도하고 기여할 수 있는 방안을 제시한다.

A Study on the Effect of Blockchain on Personal Information Protection

  • Kim, Seong-Kyu (Steve)
    • Journal of Multimedia Information System
    • /
    • 제6권3호
    • /
    • pp.125-130
    • /
    • 2019
  • In this paper, Blockchain is mentioned as the next-generation core IT technology. As an immature technology, there are not many practical use cases, but it is expected to be widely applied in various industries such as cryptocurrency, finance, public, etc. to increase efficiency and enable new services that did not exist in the past. Nevertheless, the generalization of blockchain technology is still difficult. In particular, from the viewpoint of personal information protection, GDPR of Europe, etc., is becoming stronger. Considering that the core of the blockchain is the change of information sharing and processing method, it is very important how the blockchain can affect, especially from the viewpoint of privacy, and how the Privacy Act can be applied to the blockchain. However, the discussion on this part also seems to be insufficient. Therefore, in this paper, blockchain By analyzing the implications and implications of technologies and services using them from the perspective of the Privacy Act, we will discuss how the blockchain will be used to prevent leakage of privacy.

개인정보보호법제 관점에서 본 블록체인의 법적 쟁점 GDPR 및 국내 개인정보보호법을 바탕으로 (Legal Issues of Blockchain in Personal Information Protection : Based on GDPR and Personal Information Protection Act)

  • 박민정;채상미;이명준
    • Journal of Information Technology Applications and Management
    • /
    • 제25권2호
    • /
    • pp.133-146
    • /
    • 2018
  • The technical definition of Blockchain is commonly known 'distributed ledger', however, there is no legal definition for being accepted in worldwide. Therefore, unless legal definitions and concepts of Blockchain are presented, there is a possibility that various legal disputes will occur in the future in Blockchain environment. The purpose of this study is to derive legal issues related to personal information protection that can be conflicted in Blockchain environment based on domestic Privacy Act and GDPR. The outcomes of this study can prevent various legal disputes and provide solutions that may occur due to the spread of Blockchain. It also suggests the foundation for the improvement of Privacy Act. Finally, it contributes to activate of Blockchain, industry, in Korea.

Analysis on Trends of Artworks Blockchain Platform

  • Lee, Yo-Seob
    • International Journal of Advanced Culture Technology
    • /
    • 제7권3호
    • /
    • pp.149-157
    • /
    • 2019
  • Recently, the blockchain platform is changing the art market. Changes are taking place in many areas, including artists, collectors, art investors, and auction. The platform that provides distribution history information on artworks on a blockchain basis can be used when information on the work history is suspected or needs verification, and can be used to manage the distribution history information of stolen and lost artworks and confiscated artworks by the police. Several companies currently operate these platforms, but they operate various blockchain platforms according to their contents. In this paper, we will compare and analyze features of artworks blockchain platform.

Apply Blockchain to Overcome Wi-Fi Vulnerabilities

  • Kim, Seong-Kyu (Steve)
    • Journal of Multimedia Information System
    • /
    • 제6권3호
    • /
    • pp.139-146
    • /
    • 2019
  • This paper, wireless internet such as Wi-Fi has a vulnerability to security. Blockchain also means a 'Ledger' in which transaction information that occurs on a public or private network is encrypted and shared among the network participants. Blockchain maintains information integrity by making it impossible for a particular node to tamper with information arbitrarily, a feature that would result in changes in the overall blockchain hash value if any one transaction information that constitutes a block was changed. The complete sharing of information through a peer-to-peer network will also cripple hacking attempts from outside, targeting specialized nodes, and prepare for the "single point of failure" risk of the entire system being shut down. Due to the value of these Blockchain, various types of Blockchain are emerging, and related technology development efforts are also actively underway. Various business models such as public block chains such as Bitcoin, as well as private block chains that allow only certain authorized nodes to participate, or consortium block chains operated by a select few licensed groups, are being utilized. In terms of technological evolution, Blockchain also shows the potential to grow beyond cryptocurrency into an online platform that allows all kinds of transactions with the advent of 'Smart Contract'. By using Blockchain technology, the company makes suggestions to overcome the vulnerability of wireless Internet.

A Trusted Sharing Model for Patient Records based on Permissioned Blockchain

  • Kim, Kyoung-jin;Hong, Seng-phil
    • 인터넷정보학회논문지
    • /
    • 제18권6호
    • /
    • pp.75-84
    • /
    • 2017
  • As there has been growing interests in PHR-based personalized health management project, various institutions recently explore safe methods of recording personal medical and health information. In particular, innovative medical solution can be realized when medical researchers and medical service institutes can generally get access to patient data. As EMR data is extremely sensitive, there has been no progress in clinical information exchange. Moreover, patients cannot get access to their own health data and exchange it with researchers or service institutions. It can be operated in terms of technology, yet policy environment are affected by state laws as well as Privacy and Security Policy. Blockchain technology-independent, in transaction, and under test-is introduced in the medical industry in order to settle these problems. In other words, medical organizations can grant preliminary approval on patient information exchange by using the safely encrypted and distributed Blockchain ledger and can be managed independently and completely by individuals. More apparently, medical researchers can gain access to information, thereby contributing to the scientific advance in rare diseases or minor groups in the world. In this paper, we focused on how to manage personal medical information and its protective use and proposes medical treatment exchange system for patients based on a permissioned Blockchain network for the safe PHR operation. Trusted Model for Sharing Medical Data (TMSMD), that is proposed model, is based on exchanging information as patients rely on hospitals as well as among hospitals. And introduce medical treatment exchange system for patients based on a permissioned Blockchain network. This system is a model that encrypts and records patients' medical information by using this permissioned Blockchain and further enhances the security due to its restricted counterfeit. This provides service to share medical information uploaded on the permissioned Blockchain to approved users through role-based access control. In addition, this paper presents methods with smart contracts if medical institutions request patient information complying with domestic laws by using the distributed Blockchain ledger and eventually granting preliminary approval for sharing information. This service will provide an independent information transaction and the Blockchain technology under test will be adopted in the medical industry.

A Heterogeneous IoT Node Authentication Scheme Based on Hybrid Blockchain and Trust Value

  • Zhang, Shiqiang;Cao, Yang;Ning, Zhenhu;Xue, Fei;Cao, Dongzhi;Yang, Yongli
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제14권9호
    • /
    • pp.3615-3638
    • /
    • 2020
  • Node identity authentication is an essential means to ensure the security of the Internet of Things. Existing blockchain-based IoT node authentication schemes have many problems. A heterogeneous IoT node authentication scheme based on an improved hybrid blockchain is proposed. Firstly, the hybrid blockchain model is designed to make the blockchain and IoT environment more compatible. Then the proxy node selection mechanism is intended to establish a bridge between the ordinary IoT node and the blockchain, building by calculating the trust value between nodes. Finally, based on the improved hybrid blockchain, the node authentication scheme of the model and proxy node selection mechanism establishes a secure connection for communication between nodes. Safety and performance analysis shows proper safety and performance.

Private Key Recovery on Bitcoin with Duplicated Signatures

  • Ko, Ju-Seong;Kwak, Jin
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제14권3호
    • /
    • pp.1280-1300
    • /
    • 2020
  • In the modern financial sector, interest in providing financial services that employ blockchain technology has increased. Blockchain technology is efficient and can operate without a trusted party to store all transaction information; additionally, it provides transparency and prevents the tampering of transaction information. However, new security threats can occur because blockchain technology shares all the transaction information. Furthermore, studies have reported that the private keys of users who use the same signature value two or more times can be recovered. Because private keys of blockchain identify users, private key leaks can result in attackers stealing the ownership rights to users' property. Therefore, as more financial services use blockchain technology, actions to counteract the threat of private key recovery must be continually investigated. Private key recovery studies are presented here. Based on these studies, duplicated signatures generated by blockchain users are defined. Additionally, scenarios that generate and use duplicated signatures are applied in an actual bitcoin environment to demonstrate that actual bitcoin users' private keys can be recovered.