Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105496
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dc.contributorDepartment of Computingen_US
dc.creatorLi, Jen_US
dc.creatorZhao, Men_US
dc.creatorDing, Yen_US
dc.creatorLiu, DYWen_US
dc.creatorWang, Yen_US
dc.creatorLiang, Hen_US
dc.date.accessioned2024-04-15T07:34:43Z-
dc.date.available2024-04-15T07:34:43Z-
dc.identifier.isbn978-1-6654-1485-2 (Electronic)en_US
dc.identifier.isbn978-1-6654-3051-7 (Print on Demand(PoD))en_US
dc.identifier.urihttp://hdl.handle.net/10397/105496-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication J. Li, M. Zhao, Y. Ding, D. Y. W. Liu, Y. Wang and H. Liang, "An Aggregate Authentication Framework for Unmanned Aerial Vehicle Cluster Network," 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), Exeter, United Kingdom, 2020, pp. 1249-1256 is available at https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00185.en_US
dc.subjectAggregate signatureen_US
dc.subjectAuthenticationen_US
dc.subjectBatch verificationen_US
dc.subjectCluster networken_US
dc.subjectUnmanned aerial vehicleen_US
dc.titleAn aggregate authentication framework for unmanned aerial vehicle cluster networken_US
dc.typeConference Paperen_US
dc.identifier.spage1249en_US
dc.identifier.epage1256en_US
dc.identifier.doi10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00185en_US
dcterms.abstractThe unmanned aerial vehicle technology has achieved rapid development in recent years. In order to ensure the authenticity and reliability of information transmission in unmanned aerial vehicle cluster network (UAVCN), it is necessary to require unmanned aerial vehicles and control center (COC) to perform mutual authentication process. The authentication request issued by COC should be attested and forwarded by aggregators (AGE) to reconnaissance unmanned aerial vehicles (RAV) in respective cluster, due to the short-distance communication capabilities of RAVs. Moreover, the responses from RAVs are also aggregated and forwarded by their respective administrative AGE to COC. To address the security issues in such authentication scenario, this paper proposes an authentication framework for UAVCN based on the identity-based aggregate signature technology. Security analysis shows that our method offers unforgeability for (attested) authentication request and (aggregate) responses, and performance analysis demonstrates the practicality of our construction.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitation2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), 17-19 December 2020, Exeter, United Kingdom, p. 1249-1256en_US
dcterms.issued2020-
dc.identifier.scopus2-s2.0-85108028045-
dc.relation.conferenceIEEE International Conference on Big Data and Cloud Computing [BdCloud]en_US
dc.description.validate202402 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCOMP-0163-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Key R&D Program of China; National Natural Science Foundation of China; Guangxi Key R&D Program; Guangxi Natural Science Foundation; The Peng Cheng Laboratory Project of Guangdong Province; The Innovation and Technology Support Programme of Innovation and Technology Fund of Hong Kongen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS54228862-
dc.description.oaCategoryGreen (AAM)en_US
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