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Proposing A Data Privacy Aware Protocol for Roadside Accident Video Reporting Service Using 5G In Vehicular Cloud Networks Environment

机译:在车辆云网络环境中使用5G为路边事故视频报告服务提出数据隐私感知协议

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The bandwidth hungry applications are growing drastically and soon exceeding the bandwidth limits of existing wireless communication network systems. The current increasing demand for higher capacity and data rates are therefore leading to the 5G technology thus changing the norm of communications in providing the high-speed data rate and lower latency. One of the promising technologies that avail from the 5G would be the vehicular cloud networks (VCN). A prominent service out of this 5G VCN is the roadside accident video reporting by using 5G over the cloud. This service may contain private data/information that can be compromised at any channel (from vehicles to 5G and cloud storage) due to many reasons. This service is vulnerable to security attacks due to its availability for a long time at different channels. Moreover, multiple video reporting can cause huge storage and computation issues leading to inefficient computation and storage management. Consequently, data privacy, security, data management and computing efficiency of data storage become the main challenges in roadside accident vehicular cloud network video reporting services. This research is proposing a solution based on a new protocol to address the stated issues by extending the recent research presented by Lewis protocol et al. The proposed protocol is aimed to provide good data privacy, reduces the data security attacks, improving data management and the computation efficiency at all channels.
机译:带宽匮乏的应用正在急剧增长,并很快超过了现有无线通信网络系统的带宽限制。因此,当前对更高容量和数据速率的不断增长的需求导致了5G技术的发展,从而改变了提供高速数据速率和更低延迟的通信规范。 5G带来的有前途的技术之一将是车辆云网络(VCN)。该5G VCN的一项重要服务是通过在云端使用5G进行路边事故视频报告。该服务可能包含私有数据/信息,由于多种原因,私有数据/信息可能会在任何渠道(从车辆到5G和云存储)受到损害。由于该服务在不同渠道上的长期可用性,因此容易受到安全攻击。此外,多个视频报告会导致巨大的存储和计算问题,从而导致低效的计算和存储管理。因此,数据隐私,安全性,数据管理和数据存储的计算效率成为路边事故车辆云网络视频报告服务的主要挑战。这项研究提出了一种基于新协议的解决方案,通过扩展Lewis协议等人提出的最新研究来解决上述问题。提出的协议旨在提供良好的数据保密性,减少数据安全攻击,改善所有通道的数据管理和计算效率。

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