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Title:
OPERATION SYSTEM AND OPERATION METHOD OF SOVEREIGN DIGITAL CURRENCY WITH IDENTIFIRE
Document Type and Number:
WIPO Patent Application WO/2021/075080
Kind Code:
A1
Abstract:
The present disclosure relates to an operation system and operation method for a sovereign digital currency with an identifier, and, in particular, to a system and method for issuance of a non-anonymous sovereign digital currency with trusted KYC data to be validated by an authorized third party, without revealing input personal data, ensuring Opt-in privacy. More specifically, the present disclosure relates to a sovereign digital currency with a verifiable and immutable identifier by issuing the combination of two kind of identifiers with set of same homomorphically encrypted personal data; first is the identifier of a certain user, second is a verified identifier (VID) entails data pertinent to who and when identify the subject in the form of KYC, and further, homomorphically encrypted data is, through hashing, added to a block of private blockchain for secret sharing. An authorized third party validator is capable of confirming the digital trust of KYC through the coincidence between set of personal data encrypted in each ID and VID without data decryption, namely not retrospectively exposing input personal data. Additionally, an embodiment of the disclosure provides a risk rating score to evaluate credit risk due to fraud and/or fault of KYC identification associated with three different layers.

Inventors:
NODA JYUICHIRO (JP)
Application Number:
PCT/JP2020/021503
Publication Date:
April 22, 2021
Filing Date:
May 30, 2020
Export Citation:
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Assignee:
LOCH ENERGY LTD (CN)
NODA JYUICHIRO (JP)
International Classes:
H04L9/30
Foreign References:
EP3509006A12019-07-10
EP3553995A12019-10-16
US20160350648A12016-12-01
EP3477527A12019-05-01
US20110131122A12011-06-02
Other References:
DATTA ANWITAMAN: "Blockchain in the Government Technology Fabric", 21 May 2019 (2019-05-21), XP055802310, Retrieved from the Internet
DYRAGA PIOTR: "Keeping Secrets in Public Places with Homomorphic Encryption", 24 May 2019 (2019-05-24), XP055802308, Retrieved from the Internet
FRANCISCO LOUZADA; ANDERSON ARA; GUILHERME B. FERNANDES: "Classification methods applied to credit scoring: A systematic review and overall comparison", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 5 February 2016 (2016-02-05), 201 Olin Library Cornell University Ithaca, NY 14853, XP080681826
KIRUTHIKA, M. T. AND SELVI, C.: "Ensure Data Privacy in Back Propagation Neural Network Learning over Encrypted Cloud Data", INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN COMPUTER AND COMMUNICATION ENGINEERING; ABSTRACT, 1. INTRODUCTION, III. PROBLEM FORMULATION, vol. 3, no. 5, May 2015 (2015-05-01), pages 4366 - 4372, XP009527497, ISSN: 2320-9801
SATOH KAYO S, YOSHIKAWA NOBUHIRO, YANG WON-JIK, NAKANO YOSHIAKI: "Whole learning algorithm for feedforward neural network by Moore-Penrose Generalized Inverse", TRANSACTIONS OF JSCES, 24 September 1999 (1999-09-24), XP055802305
VARUN RANGANATHAN; S. NATARAJAN: "A New Backpropagation Algorithm without Gradient Descent", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 25 January 2018 (2018-01-25), 201 Olin Library Cornell University Ithaca, NY 14853, XP081211641
Attorney, Agent or Firm:
KIKUCHI Koichi (JP)
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