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Research On Digital Wallet Based On Fingerprint Fuzzy Vault

Posted on:2021-03-20Degree:MasterType:Thesis
Country:ChinaCandidate:L WuFull Text:PDF
GTID:2428330605451305Subject:Information security
Abstract/Summary:PDF Full Text Request
In recent years,digital currency in which blockchain as the underlying core technology have developed rapidly.Digital currency has increasingly become one of the ways of investment.make it easier to manage personal digital assets,people generally choose digital wallet as a digital asset management tool.The security of the digital wallet is directly related to the security of the entire digital asset account.At present,digital wallets widely use mnemonic methods for key management and recovery.But mnemonics have the risk of being lost and forgotten.Biometric technology combined with cryptographic technology can overcome the shortcomings of a single biometric technology,thereby providing more convenient and safe protection of user data.This article focuses on applying biometric encryption technology to improve the current digital wallet.The purpose of this paper is to make some exploratory work in the field of digital wallet and biometric.The main contents of this article are as follows:(1)This article focuses on digital wallets.We introduce the current development and research status of software wallets,hardware wallets,escrow wallets and threshold wallet solutions,and analyze the characteristics of these four types of wallets in this article.Finally,the advantages and disadvantages of these four wallet solutions are compared.(2)This paper proposes a novel dynamic fingerprint segmentation technique,which improves the existing dynamic image segmentation scheme by introducing weighting method and adding morphological post-processing process.In our method,the fingerprint segmentation problem can be regarded as a clustering problem of image pixels.we use FCM clustering algorithm and genetic algorithm to find the optimal number of clusters,then perform pre-segmentation of fingerprint image.The fingerprint image after pre-segmentation undergoes morphological post-processing operations to obtain the final fingerprint foreground area.Then it is compared with the existing FDB fingerprint segmentation algorithm and GP3 D fingerprint segmentation algorithm through experiment.The final experimental results prove that our scheme can obtain the best fingerprint segmentation performance.(3)Based on the classic fuzzy vault scheme,the revocable fingerprint biometric technology is introduced to generate a revocable fingerprint vault scheme.We use the word of command as a parameter to deform the extracted fingerprint details;use the password to generate a one-way transformation function,use this transformation function to obtain a revocable fingerprint feature template.Then we analyze the safety of this scheme to make a comparison with other scheme,Finally,we proved that our method has good security.(4)Based on the revocable fingerprint fuzzy vault scheme,the software wallet was improved.The detailed design scheme and design process of software wallet based on fingerprint fuzzy vault are given.Finally,the feasibility and safety analysis of this program is carried out.
Keywords/Search Tags:segmentation of fingerprint, fuzzy vault, digital wallet, fingerprint biometrics, clustering, Morphological operations
PDF Full Text Request
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