Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Design Research of Blockchain, Machine Learning for the management of financing fund

융자성 기금관리를 위한 블록체인, 머신러닝 설계 연구

  • Oh, Rag-seong (Department of Convergence Engineering, Hoseo Graduate School of Venture at Hoseo University) ;
  • Park, Dea-woo (Department of Convergence Engineering, Hoseo Graduate School of Venture at Hoseo University)
  • Received : 2019.07.25
  • Accepted : 2019.08.08
  • Published : 2019.10.31
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Abstract

The government has operated financing fund under the National Finance Act for the smooth conduct of national policy. But, It is exposed to problems such as the possibility of abuse of fund and the lack of after-loan management. In this paper, It uses fintech such as the blockchain and machine learning to solve these problems. The fund operation procedure is designed as a consortium blockchain, and it suggests the application of PBFT negotiation algorithm and the smart contract. In case of the fund management, it suggests utilizing multilayer artificial neural network model of machine learning and a module of result interpretation. The introduction of this research approach will improve the transparency and efficiency of the financing fund, ensure the credibility and also contribute to the improvement of the fund management and the establishment of the fund policy.

정부는 국가정책사업의 원활한 수행을 위하여 국가재정법에 의거 융자성 기금을 운용하고 있다. 그러나, 기금운용절차와 기금관리 측면에서 기금의 오남용, 사후관리 미흡 등 문제점에 노출되어 있다. 본 논문 연구에서는 이러한 문제점을 해결하기 위해 Blockchain과 Machine Learning 등 Fintech 기술을 활용하였다. 기금운용절차는 Consortium Blockchain으로 설계하고, PBFT 협의 Algorithm과 Smart 계약을 적용하는 방안을 제시하였다. 기금관리는 Machine Learning의 Multilayer Artificial Neural Network Model을 활용하는 방안과 결과 값 해석모듈을 함께 제시하였다. 본 Fintech 기술 활용 방안을 도입하게 되면 기금대출의 투명성과 효율성 제고, 신뢰성 확보가 가능하고 정부의 기금제도 개선 및 기금정책 수립에도 기여 할 수 있을 것이다.

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