V2XCom:面向车联网的轻量级安全消息分发方案

IF 1.5 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Umesh Bodkhe, Sudeep Tanwar
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引用次数: 0

摘要

智慧城市提供可持续的交通生态系统,通过传感器和网络单元连接智能车辆。车联网(IoV)在传播各种信息方面至关重要,包括道路安全、精确位置共享、道路事故和阻塞、碰撞警告、驾驶员辅助、网络拥堵或车辆对任何设备(V2X)之间的通行费支付。由于车联网生态系统的关键任务性质,它需要可靠、轻量级和实时的车对车(V2V)和V2X单元通信。然而,由于不安全无线通道的可用性,攻击者可以在车联网环境中执行多种安全攻击,如重播、密码猜测、伪装、跟踪、消息篡改、中间人攻击(MIMA)和纯文本攻击,这可能导致潜在的中断。基于上述事实,我们提出了一种V2XCom,一种使用低成本加密SHA - 256, XoR操作和连接的轻量级安全的IoV网络消息传播方案。我们使用Scyther和AVISPA工具对V2XCom进行了安全验证。此外,对所提出的方案进行了非正式的安全分析,并提供了安全证明。我们对车联网生态系统中最新的V2XCom传播方案进行了比较分析,涉及安全特性、通信延迟、计算成本和能源使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
V2XCom: Lightweight and secure message dissemination scheme for Internet of vehicles
Abstract Smart cities provide a sustainable transport ecosystem to connect smart vehicles through sensors and networking units. Internet‐of‐vehicles (IoV) is vital in disseminating various messages, including road safety, exact location sharing, road accidents and blocks, collision warning, driver assistance, network congestion, or toll payment among vehicle‐to‐anything (V2X) units. Due to the mission‐critical nature of the IoV ecosystem, it requires reliable, lightweight, and real‐time communication for vehicle‐to‐vehicle (V2V) and V2X units. However, due to the availability of insecure wireless channels, an adversary can perform several security attacks such as replay, password guessing, masquerade, trace, message tampering, Man‐in‐the‐middle attack (MIMA), and plain‐text attacks in an IoV environment which may lead to potential disruptions. Motivated by the aforementioned facts, we propose a V2XCom , a lightweight and secure message dissemination scheme for the IoV network using low‐cost cryptographic SHA‐256, XoR operation, and concatenation. We performed security verification of V2XCom using the Scyther and AVISPA tools. Moreover, security proofs are provided for an informal security analysis of the proposed scheme. We have done a comparative analysis of a V2XCom with recent dissemination schemes in the IoV ecosystem concerning security features, communication latency, computational cost, and energy usage.
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