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Privacy-preserving Customized Order Service Protocol based on Smart Contract in Smart Factory

프라이버시를 제공하는 스마트 컨트랙트 기반의 스마트 팩토리 주문제작 프로토콜

  • Lee, YongJoo (Global IT Research Institute) ;
  • Woo, Sung-Hee (Department of Medical IT Engineering, Korea National University of Transportation) ;
  • Lee, Sang-Ho (Department of Computer Science, ChungBuk National University)
  • Received : 2018.10.22
  • Accepted : 2018.12.03
  • Published : 2019.02.28

Abstract

Advances in technologies about 3D (three-dimensional) printing and smart factory related issues will have the effect of reducing the cost of building a smart factory and making various types of service available. Manufacturers and service providers of small assets work with outside experts to provide small amounts of customized ordering services. If customers have to disclose their private information to subscribe to a new service, they may be reluctant to use it and the availability of developed technology may cause slow progress. We propose a new protocol for customized order service for smart factory. The proposed approach is designed to meet requirements of security and based on smart contract in IoT convergence network. We analyzed the requirements of the proposed approach which provided anonymity, privacy, fairness, and non-repudiation. We compared it with closely related studies to show originality and differences.

4차 산업에 대한 꾸준한 투자와 기술 개발로 스마트 팩토리 기술이 더욱 안정화되고 3D 프린팅을 포함한 관련 기술개발이 더욱 활발해진다면, 스마트 팩토리 도입비용이 낮아지고 현재의 고가의 상품 제조에 집중되는 현상에서 벗어나 소량 맞춤형 주문 제작을 위한 서비스로 변화 될 것이라고 기대한다. 그러나 소량의 주문제작을 위해 제3자에게 개인정보를 제공해야 하고 복잡한 결제시스템을 거쳐야 한다면 발전되는 기술에 비해 활용도는 그에 미치지 못할 수 있다. 이 논문에서는 기존 사물인터넷의 한계를 극복하고 새로운 패러다임을 가져다 줄 것으로 기대하는 블록체인 기술 융합의 스마트 팩토리 환경에서 프라이버시와 익명성을 제공하는 고객 맞춤형 제문제작을 위한 프로토콜을 제안한다. 제작자의 평판을 반영하여 고객 주문에 활용하고 주문 내용이 제작자 외에는 공개되지 않도록 프라이버시를 제공하는 고객 맞춤형 주문제작 방법을 제안하였다. 또한 제안하는 프로토콜의 요구사항을 검증하였고 관련연구와의 비교를 통하여 독창성을 확인하였다.

Keywords

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Fig. 1 Domain of Smart Factory

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Fig. 2 Customized Service on Smart contract

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Fig. 3 Traditional Publish/Subscribe Protocol

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Fig. 4 Secure Pub-sub Protocol on Bitcoin

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Fig. 5 Customized Order Service on Smart Contract

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Fig. 6 PSACE Protocol

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Fig. 7 User Information for Anonymity

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Fig. 8 Digital signature for Non-repudiation

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Fig. 9 Simulation of Provider’s reputation

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Fig. 10 Simulation of Reputation criteria

Table. 1 Four Classes for Providers

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