A privacy protection solution based on NLPCA for blockchain supply chain financial system

Hongyu Wu, Nianle Su, Chunguang Ma, Pengda Liao and Dawei Li
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Hongyu Wu: Dingxuan Cryptography Testing Co., Ltd., Shenzhen, Guangdong, China†Harbin Engineering University, Harbin, Heilongjiang, China
Nianle Su: Dingxuan Cryptography Testing Co., Ltd., Shenzhen, Guangdong, China
Chunguang Ma: #x2021;Shandong University of Science and Technology, Qingdao, Shandong, China
Pengda Liao: Dingxuan Cryptography Testing Co., Ltd., Shenzhen, Guangdong, China
Dawei Li: Dingxuan Cryptography Testing Co., Ltd., Shenzhen, Guangdong, China

International Journal of Financial Engineering (IJFE), 2020, vol. 07, issue 03, 1-22

Abstract: Many supply chain finance problems can be fundamentally solved by using blockchain. The current technical challenge of applying blockchain in supply chain finance is the lack of systematic privacy protection architecture. Based on the architecture of Julongchain, through the nonlinear principal component analysis in private data feature extraction, this paper proposed a new type of privacy protection architecture based on specific supply chain financial system. This privacy protection solution split privacy data by decision machine, then mixed data using mixed mechanism, finally determined the characteristic weight of privacy data by applying the decentralized decision institution.

Keywords: Blockchain; supply chain finance; privacy protection (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1142/S242478632050019X

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