Securing Smart City Surveillance: A Lightweight Authentication Mechanism for Unmanned Vehicles

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dc.authoridhttps://orcid.org/0000-0002-9321-6956en_US
dc.contributor.authorAli, Zeeshan
dc.contributor.authorChaudhry, Shehzad Ashraf
dc.contributor.authorRamzan, Muhammad Sher
dc.contributor.authorAl-Turjman, Fadi
dc.date.accessioned2020-05-02T01:40:48Z
dc.date.available2020-05-02T01:40:48Z
dc.date.issued2020en_US
dc.departmentMühendislik ve Mimarlık Fakültesien_US
dc.description.abstractThe significance of the Internet of Drones (IoD) is increasing steadily and now IoD is being practiced in many military and civilian-based applications. IoD facilitates real-time data access to the users especially the surveillance data in smart cities using the current cellular networks. However, due to the openness of communication channel and battery operations, the drones and the sensitive data collected through drones are subject to many security threats. To cope the security challenges, recently, Srinivas et al. proposed a temporal credential based anonymous lightweight authentication scheme (TCALAS) for IoD networks. Contrary to the IoD monitoring framework proposed by Srinivas et al., their own scheme can work only when there is one and only one cluster/fiying zone and is not scalable. Moreover, despite their claim of robustness, the investigation in this paper reveals that Srinivas et al.'s scheme cannot resist traceability and stolen verifier attacks. Using the lightweight symmetric key primitives and temporal credentials, an improved scheme (iTCALAS) is then proposed. The proposed scheme while maintaining the lightweightness provides security against many known attacks including traceability and stolen verifier. The proposed iTCALAS extends scalability and can work when there are several fiying zone/clusters in the IoD environment. The formal security proof along with automated verification using ProVerif show robustness of proposed iTCALAS. Moreover, the security discussion and performance comparisons show that the iTCALAS provides the known security features and completes authentication in just 2:295 msen_US
dc.description.sponsorshipFunding Agency: Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah Grant Number: D-480-611-1441 This work was supported by the Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah, under Grant D-480-611-1441.en_US
dc.identifier.doi10.1109/ACCESS.2020.2977817en_US
dc.identifier.endpage43724en_US
dc.identifier.issn2169-3536
dc.identifier.scopus2-s2.0-85082001451en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage43711en_US
dc.identifier.urihttps://hdl.handle.net/11363/2121
dc.identifier.urihttps://doi.org/
dc.identifier.volume8en_US
dc.identifier.wosWOS:000524710900029en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USAen_US
dc.relation.ispartofIEEE ACCESSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectSurveillanceen_US
dc.subjectsecurityen_US
dc.subjectkey-agreementen_US
dc.subjectdronesen_US
dc.subjectIoTen_US
dc.subjectIoDen_US
dc.subjectsession key leakageen_US
dc.subjecttraceabilityen_US
dc.subjectuser anonymityen_US
dc.subjectKEY AGREEMENT SCHEMEen_US
dc.subjectUSER AUTHENTICATIONen_US
dc.subjectPOWER ANALYSISen_US
dc.subjectINTERNETen_US
dc.subjectTHINGSen_US
dc.subjectNETWORKSen_US
dc.subjectPROTOCOLen_US
dc.subjectDEVICESen_US
dc.titleSecuring Smart City Surveillance: A Lightweight Authentication Mechanism for Unmanned Vehiclesen_US
dc.typeArticleen_US

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