基于5G的车联网环境下道路交通事故视频报告服务数据隐私感知协议

Zahrah A. Almusaylim, Noor Zaman Jhanjhi, L. T. Jung
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引用次数: 26

摘要

带宽饥渴型应用急剧增长,很快就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需求日益增长,从而导致5G技术的出现,从而改变了通信规范,提供高速数据速率和更低的延迟。从5G中获益的有前途的技术之一将是车载云网络(VCN)。5G VCN的一个突出服务是利用云端5G进行道路交通事故视频报告。该服务可能包含私人数据/信息,由于多种原因,这些数据/信息可能在任何渠道(从车辆到5G和云存储)遭到泄露。由于该服务在不同通道上长时间可用,容易受到安全攻击。此外,多个视频报表会造成巨大的存储和计算问题,导致计算和存储管理效率低下。因此,数据隐私性、安全性、数据管理和数据存储的计算效率成为道路交通事故车辆云网络视频报告服务的主要挑战。本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所述问题。该协议旨在提供良好的数据保密性,减少数据安全攻击,提高各通道的数据管理和计算效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proposing A Data Privacy Aware Protocol for Roadside Accident Video Reporting Service Using 5G In Vehicular Cloud Networks Environment
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.
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