• Title/Summary/Keyword: Hyper-Ledger Fabric

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Sensory Data Aggregation and Management System for Industrial Accident Blockchain using HyperLedger Fabric (HyperLedger Fabric을 사용한 산업사고 블록체인 센서자료 수집 및 관리 시스템)

  • Song, Chan-Mo;Cho, MinKun;Jang, KyoungJin;Kang, YunHee;Kang, KyungWoo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.998-1000
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    • 2018
  • 데이터 무결성을 보장하는 블록체인은 IoT 환경과 같은 비금융 분야에서 활용이 증가되고 있으며 IoT 환경의 수집된 자료를 저장할 수 있는 단순한 인프라로 활용되고 있다. 이 논문에서는 산업사고 발생시 주요 원인에 대한 추적검증을 위해 산업현장에서의 환경정보를 블록체인에 저장하기 위한 센서자료 수집시스템을 기술한다. 본 개발 시스템은 허가형 블록체인 플랫폼인 HyperLedger Fabric을 사용하여 온도, 충격 및 영상데이터의 주요 특징을 요약하여 블록체인에 저장할 수 있도록 한다.

A System Recovery using Hyper-Ledger Fabric BlockChain (하이퍼레저 패브릭 블록체인을 활용한 시스템 복구 기법)

  • Bae, Su-Hwan;Cho, Sun-Ok;Shin, Yong-Tae
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.12 no.2
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    • pp.155-161
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    • 2019
  • Currently, numerous companies and institutes provide services using the Internet, and establish and operate Information Systems to manage them efficiently and reliably. The Information System implies the possibility of losing the ability to provide normal services due to a disaster or disability. It is preparing for this by utilizing a disaster recovery system. However, existing disaster recovery systems cannot perform normal recovery if files for system recovery are corrupted. In this paper, we proposed a system that can verify the integrity of the system recovery file and proceed with recovery by utilizing hyper-ledger fabric blockchain. The PBFT consensus algorithm is used to generate the blocks and is performed by the leader node of the blockchain network. In the event of failure, verify the integrity of the recovery file by comparing the hash value of the recovery file with the hash value in the blockchain and proceed with recovery. For the evaluation of proposed techniques, a comparative analysis was conducted based on four items: existing system recovery techniques and data consistency, able to data retention, recovery file integrity, and using the proposed technique, the amount of traffic generated was analyzed to determine whether it was actually applicable.

Design of Lab Framework for Effective Blockchain Education (효율적인 블록체인 교육을 위한 실습프레임워크 설계)

  • Kim, Do-Kyu
    • Journal of Industrial Convergence
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    • v.18 no.6
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    • pp.147-154
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    • 2020
  • It is difficult to educate the overall operation of public and private blockchains with different characteristics. Recently, most education for blockchain is targeted at public blockchains such as Bitcoin and Ethereum. However, in an actual business environment, a private blockchain such as HyperLedger Fabric is used because access to corporate data is controlled through user authentication. In the case of HLF-based education, it is necessary to understand various components that are not in the public blockchain, such as peers, orderers, and channels. In this paper, a lab framework for HLF is designed for an efficient and systematic understanding of the functions and operations. The framework consists of HLF network, chaincode, and decentralized software control functions. Through the framework, the network configuration, distribution and activation of chaincode, and dApp execution process were checked step by step, and it was very easy to understand the overall flow for blockchain services. In addition, it is expected that a systematic understanding of the overall flow will be possible even in future network expansion.