Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A study on the traceable attribute-based signature scheme provided with anonymous credentials

Full metadata record
DC Field Value Language
dc.contributor.authorHwang, Yong Woon-
dc.contributor.authorKim, Taehoon-
dc.contributor.authorSeo, Daehee-
dc.contributor.authorLee, Im-Yeong-
dc.date.accessioned2024-06-11T07:03:06Z-
dc.date.available2024-06-11T07:03:06Z-
dc.date.issued2024-12-
dc.identifier.issn0954-0091-
dc.identifier.issn1360-0494-
dc.identifier.urihttps://scholarworks.bwise.kr/sch/handle/2021.sw.sch/26027-
dc.description.abstractIn order to provide the reliability of transmitted data in the era of big data, it is necessary to communicate by applying signature technology to data. There are various signature schemes, among which attribute-based signatures perform signatures based on user attributes. This ensures signer anonymity by allowing users to create and verify signatures without exposing the signer's sensitive information. However, the verifier can verify normally if the attribute period expires and a user without signing authority creates and transmits a signature with the existing signing key and attributes. In addition, signers who abuse anonymity can disclose their signing keys and attributes for some purpose (Money, profit) because there is no risk of being caught. Unauthorized users can use public information to sign and send messages. Therefore, in this paper, we propose a Traceable Attribute-based Signature scheme provided with anonymous credentials. The proposed scheme has the feature of verifying the validity of the signer by using the pseudonym ID included in the user list in the cloud server. In addition, the signer's identity is expressed as an Oblivious Transfer-based pseudonym ID. The signer's identity can be verified through tracing in case of a problem.-
dc.language영어-
dc.language.isoENG-
dc.publisherTAYLOR & FRANCIS LTD-
dc.titleA study on the traceable attribute-based signature scheme provided with anonymous credentials-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1080/09540091.2023.2287979-
dc.identifier.scopusid2-s2.0-85181722195-
dc.identifier.wosid001138449600001-
dc.identifier.bibliographicCitationCONNECTION SCIENCE, v.36, no.1-
dc.citation.titleCONNECTION SCIENCE-
dc.citation.volume36-
dc.citation.number1-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.subject.keywordAuthorData security-
dc.subject.keywordAuthorcryptography-
dc.subject.keywordAuthorattribute-based signature-
dc.subject.keywordAuthoranonymity-
dc.subject.keywordAuthortraceability-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Medicine > Department of Internal Medicine > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Im Yeong photo

Lee, Im Yeong
College of Software Convergence (Department of Computer Software Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE