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The Implement of a Reconfigurable Intelligence Trust Chain Platform with Anti-counterfeit Traceable Version Function for the Customized System-Module-IC

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Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS 2023)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 177))

Abstract

Today, information technology (IT) and operational technology (OT) accelerate the development of Intelligence of Things (IoT) systems, which consist of modular integrated circuits (ICs). However, the existing IoT cannot support this all-round certification based on System-Module-IC vertical integration of upstream and downstream product hardware version identification in its supply chain. In other words, this factor limits the ability of system equipment for IoT to include version certification of System, Module and IC chip. Furthermore, in the supply chain, a comprehensive trust relationship cannot be established in the cooperation process between suppliers and other manufacturers. This paper first implements the reconfigurable chain of trust authentication method according to the references [21] and [22] applied to the supply chain based on the System-Module(s)-IC(s) vertical integration via the designed the customized IoT system with the comprehensive identification of the hardware version of upstream and downstream products. This implementation is based on a private blockchain combined with a decentralized database system to improve the reliability, traceability and identification of all-round customized versions of customized systems, modules and ICs. The approach we proposed could implement of a blockchain and IPFS-Based anti-counterfeit traceable of the version customized System-Module-IC by using reconfigurable intelligence trust chain, where the DApp and the smart contracts for reconfigurable intelligence trust chain have been designed and performed in the real test-bed platform. Finally, the implemented results shown that this reconfigurable trust chain approach is a kind of the designed-in security as well as a kind of trusted platform integrated solution for creating a trusted platform module (TPM) solution based on Blockchain and IPFS.

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Acknowledgments

This work was funded and supported by the National Science and Technology Council (NSTC), Taiwan, R.O.C., under contract NSTC 111-2218-E-468-001-MBK and the Ministry of Science and Technology, Taiwan, R.O.C., under contract MOST 110-2218-E-468-001-MBK. In addition, this work was supported in part by NSTC, Taiwan, R.O.C., under contract NSTC 111-2218-E-002-037 and MOST 110-2218-E-002-044.

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Authors and Affiliations

  1. Department of Computer Science and Information Engineering, Asia University, Taichung, 413305, Taiwan

    Hsing-Chung Chen, Yao-Hsien Liang, Jhih-Sheng Su & Pei-Yu Hsu

  2. Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, 404327, Taiwan

    Hsing-Chung Chen

  3. Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan

    Kuen-Yu Tsai

  4. Department of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan

    Yu-Lin Song

  5. Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan

    Jia-Syun Cai

Authors
  1. Hsing-Chung Chen
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  2. Yao-Hsien Liang
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  4. Kuen-Yu Tsai
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  5. Yu-Lin Song
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Corresponding authors

Correspondence to Hsing-Chung Chen , Kuen-Yu Tsai , Yu-Lin Song , Pei-Yu Hsu or Jia-Syun Cai .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

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Chen, HC. et al. (2023). The Implement of a Reconfigurable Intelligence Trust Chain Platform with Anti-counterfeit Traceable Version Function for the Customized System-Module-IC. In: Barolli, L. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing . IMIS 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 177. Springer, Cham. https://doi.org/10.1007/978-3-031-35836-4_28

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