车载自组织网络的安全轻量级数据传输方案

Harsha Vasudev, Debasis Das
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引用次数: 4

摘要

在这个数字时代,我们的日常生活中很难想象没有使用信息通信技术(ICT)的情况。它是支持现代计算的主要组件和基础设施。这些改进也为汽车工业提供了许多有用的功能。它强调绿色环保、高性能发动机、安全设计等特点。智能交通系统(ITS)或智能交通的概念包括广泛的方法和应用。使用嵌入式智能将车辆与基础设施和中心站点连接起来,使它们变得智能。智能交通在城市环境中实现了智能政策目标,如增加机动性、提高安全性、减少排放、减少燃料使用和提高经济竞争力。VANET(车辆自组织网络)能够通过交换道路上的数据,为恶劣的道路状况、交通拥堵、天气预测、驾驶安全、乘客舒适度和其他相关应用程序构建更好的解决方案。然而,由于动态拓扑、不同方向、高移动性等不同的挑战,确保vanet中数据的安全传输并非易事。在我们的方案中,我们提出了一个轻量级的安全认证和通信系统。我们的协议主要关注vanet的一个主要应用,即预警消息。分析和结果表明,我们的协议在通信成本、存储开销和计算时间等不同方面都表现出色。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secure Lightweight Data Transmission Scheme for Vehicular Ad hoc Networks
In this digital era, it is very difficult to think of any situation in our daily life that is not using Information and Communication Technology (ICT). It is the main component and infrastructure that empower modern computing. These improvements offer many useful features in automobiles industry as well. It emphasis on the green environment, engines with high performance, secure design, etc. The concept of an intelligent transportation system (ITS) or smart transport includes a large range of methods and applications. The use of embedded intelligence to connect the vehicles, to the infrastructure and central sites make them smart. The smart transportation achieves smart policy goals in the urban environment such as increased mobility, better safety, reduced emissions, minimum fuel usage, and economic competitiveness. The VANET (vehicular ad-hoc network) has the ability to build better solutions for poor road conditions, traffic congestion, weather predictions, driving safety, passenger comfort, and other related applications by exchanging data on the road. However, it is not an easy task to ensure secure data transmission in VANETs due to different challenges such as dynamic topology, different direction, high mobility, etc. In our scheme, we propose a lightweight secure authentication and communication system for VANETs. Our protocol mainly focuses on one of the main application of VANETs, that is warning messages. Analysis and results demonstrate that our protocol outperforms well in different perspectives such as communication cost, storage overhead, and computation time.
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