ITS Based on Deep Graph Convolutional Fraud Detection Network Blockchain-Enabled Fog-Cloud

【Author】 Lakhan, Abdullah; Mohammed, Mazin Abed; Ibrahim, Dheyaa Ahmed; Kadry, Seifedine; Abdulkareem, Karrar Hameed

【Source】IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

【影响因子】9.551

【Abstract】The advancement in transport applications increases at the everyday progress in technologies. Therefore, intelligent transport systems (ITS) gain a lot of progress at the different vehicle levels and in the vehicular area network. However, privacy and security at the network level are critical issues for ITS applications in the existing mechanism. In this paper, the study devises the cost-efficient and secure Serverless Blockchain Enable Task Scheduling (SBETS) ITS system and algorithm framework. The main goal is to reduce processing and security blockchian costs for ITS applications in the system. The processing cost minimizes based on the new proposed function-based price model and secures the data by a suggested deep graph convolutional neural network scheme in the network. The simulation results show that SBETS outperformed all existing ITS systems and minimized processing costs by 10% and fraud detection issues by 50% for transport applications.

【Keywords】Costs; Blockchains; Security; Task analysis; Data models; Cloud computing; Monitoring; SBETS; deep graph convolutional fraud detection; mined; function; blockchain; ITS

【发表时间】

【收录时间】2022-03-03

【文献类型】期刊

【主题类别】

区块链技术-隐私保护-