Reliable Cooperative Authentication for Vehicular Networks
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jo, Hyo Jin | - |
dc.contributor.author | Kim, In Seok | - |
dc.contributor.author | Lee, Dong Hoon | - |
dc.date.accessioned | 2021-09-02T12:52:37Z | - |
dc.date.available | 2021-09-02T12:52:37Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2018-04 | - |
dc.identifier.issn | 1524-9050 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/76236 | - |
dc.description.abstract | Vehicular ad-hoc networks (VANETs) have been researched with regard to enhance driver's safety and comfort. In VANETs, all vehicles share their status and road conditions with neighboring nodes by periodically generating safety messages. To provide reliable VANET services, message authentication is an important feature. In particular, anonymous message authentication has attracted considerable interest, because periodic broadcast messages from a vehicle can be used to track its location. Unfortunately, previously proposed anonymous message authentication protocols had serious practical shortcomings, including high communication, authentication, and revocation costs, as well as reliability issues. Thus, in this paper, we propose an anonymous authentication protocol based on a cooperative authentication method. The proposed method does not require mode synchronization between cooperative and non-cooperative authentication. In addition, we design a two-layer pseudo-identity generation method and construct a key update tree for efficient revocation. Simulations show that our protocol does not result in packet losses caused by authentication overheads, even when the vehicle density is 200/km(2). | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | PRIVACY-PRESERVING AUTHENTICATION | - |
dc.subject | MESSAGE AUTHENTICATION | - |
dc.subject | KEY MANAGEMENT | - |
dc.subject | PROTOCOL | - |
dc.subject | SCHEME | - |
dc.subject | SECURE | - |
dc.title | Reliable Cooperative Authentication for Vehicular Networks | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, In Seok | - |
dc.contributor.affiliatedAuthor | Lee, Dong Hoon | - |
dc.identifier.doi | 10.1109/TITS.2017.2712772 | - |
dc.identifier.scopusid | 2-s2.0-85021839796 | - |
dc.identifier.wosid | 000429017300006 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, v.19, no.4, pp.1065 - 1079 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS | - |
dc.citation.title | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS | - |
dc.citation.volume | 19 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 1065 | - |
dc.citation.endPage | 1079 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Transportation | - |
dc.relation.journalWebOfScienceCategory | Engineering, Civil | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Transportation Science & Technology | - |
dc.subject.keywordPlus | PRIVACY-PRESERVING AUTHENTICATION | - |
dc.subject.keywordPlus | MESSAGE AUTHENTICATION | - |
dc.subject.keywordPlus | KEY MANAGEMENT | - |
dc.subject.keywordPlus | PROTOCOL | - |
dc.subject.keywordPlus | SCHEME | - |
dc.subject.keywordPlus | SECURE | - |
dc.subject.keywordAuthor | Anonymity | - |
dc.subject.keywordAuthor | cooperative authentication | - |
dc.subject.keywordAuthor | vehicular Ad-hoc NETworks | - |
dc.subject.keywordAuthor | revocation | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.