Construction of a New Biometric-Based Key Derivation Function and Its Application
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Seo, Minhye | - |
dc.contributor.author | Park, Jong Hwan | - |
dc.contributor.author | Kim, Youngsam | - |
dc.contributor.author | Cho, Sangrae | - |
dc.contributor.author | Lee, Dong Hoon | - |
dc.contributor.author | Hwang, Jung Yeon | - |
dc.date.accessioned | 2021-12-19T10:40:27Z | - |
dc.date.available | 2021-12-19T10:40:27Z | - |
dc.date.created | 2021-08-30 | - |
dc.date.issued | 2018 | - |
dc.identifier.issn | 1939-0114 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/132160 | - |
dc.description.abstract | Biometric data is user-identifiable and therefore methods to use biometrics for authentication have been widely researched. Biometric cryptosystems allow for a user to derive a cryptographic key from noisy biometric data and perform a cryptographic task for authentication or encryption. The fuzzy extractor is known as a prominent biometric cryptosystem. However, the fuzzy extractor has a drawback in that a user is required to store user-specific helper data or receive it online from the server with additional trusted channel, to derive a correct key. In this paper, we present a new biometric-based key derivation function (BB-KDF) to address the issues. In our BB-KDF, users are able to derive cryptographic keys solely from their own biometric data: users do not need any other user-specific helper information. We introduce a security model for the BB-KDF. We then construct the BB-KDF and prove its security in our security model. We then propose an authentication protocol based on the BB-KDF. Finally, we give experimental results to analyze the performance of the BB-KDF. We show that our proposed BB-KDF is computationally efficient and can be deployed on many different kinds of devices. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | WILEY-HINDAWI | - |
dc.subject | FUZZY EXTRACTORS | - |
dc.subject | TEMPLATES | - |
dc.subject | IMAGE | - |
dc.subject | IRIS | - |
dc.title | Construction of a New Biometric-Based Key Derivation Function and Its Application | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Dong Hoon | - |
dc.identifier.doi | 10.1155/2018/6107912 | - |
dc.identifier.scopusid | 2-s2.0-85058880311 | - |
dc.identifier.wosid | 000453811900001 | - |
dc.identifier.bibliographicCitation | SECURITY AND COMMUNICATION NETWORKS | - |
dc.relation.isPartOf | SECURITY AND COMMUNICATION NETWORKS | - |
dc.citation.title | SECURITY AND COMMUNICATION NETWORKS | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | FUZZY EXTRACTORS | - |
dc.subject.keywordPlus | TEMPLATES | - |
dc.subject.keywordPlus | IMAGE | - |
dc.subject.keywordPlus | IRIS | - |
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