Please use this identifier to cite or link to this item: http://dspace.azjhpc.org/xmlui/handle/123456789/168
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAhmad, Gulfam-
dc.contributor.authorFareed, Mariam-
dc.date.accessioned2023-08-01T16:53:06Z-
dc.date.available2023-08-01T16:53:06Z-
dc.date.issued2023-06-
dc.identifier.issn2616-6127-
dc.identifier.issn2617-4383-
dc.identifier.otherhttps://doi.org/10.32010/26166127.2023.6.1.77.90-
dc.identifier.urihttp://dspace.azjhpc.org/xmlui/handle/123456789/168-
dc.description.abstractRecent advancements in digital accident forensics, a conceptual evidence management paradigm developed using smart contracts and interplanetary file system in iov. This paper comprehensively summarizes the Smart contract implementation blockchain framework for vehicle accident investigation in IoV. We investigate comparing some review papers to find the classification of the smart contract. Using blockchain, evidence management provides an immutable and auditable method for investigating and resolving accident cases. Precisely we first investigate the security and privacy threats; therefore, Smart contracts provide effective access control for proof data and reports. On both the public and private Ethereum blockchains, the cost of setting up and executing transactions using smart contracts is assessed. However, we utilized the Inter Planetary File System most efficiently while minimizing memory and execution costs. Finally, we draw open research directions for building future digital-proof management.en_US
dc.language.isoenen_US
dc.publisherAzerbaijan Journal of High Performance Computingen_US
dc.subjectBlockchainen_US
dc.subjectSmart Contracts Interplanetary File Systemen_US
dc.subjectInternet of Vehiclesen_US
dc.subjectAccident Forensicsen_US
dc.subjectDigital Evidenceen_US
dc.subjectAccess Controlen_US
dc.titleSMART CONTRACT IMPLEMENTATION USING BLOCKCHAIN IOV FOR VEHICLE ACCIDENT INVESTIGATIONen_US
dc.typeArticleen_US
dc.source.journaltitleAzerbaijan Journal of High Performance Computingen_US
dc.source.volume6en_US
dc.source.issue1en_US
dc.source.beginpage77en_US
dc.source.endpage90en_US
dc.source.numberofpages14en_US
Appears in Collections:Azerbaijan Journal of High Performance Computing

Files in This Item:
File Description SizeFormat 
doi.org.10.32010.26166127.2023.6.1.77.90.pdf1.11 MBAdobe PDFView/Open


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