TCEMD: A Trust Cascading-Based Emergency Message Dissemination Model in VANETs

TCEMD: A Trust Cascading-Based Emergency Message Dissemination Model in VANETs
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TCEMD:车载自组网中基于信任级联的紧急消息传播模型

DOI:
10.1109/jiot.2019.2957520
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发表时间:
2020-05-01
影响因子:
10.6
通讯作者:
Wei, Kaimin
Wei, Kaimin
中科院分区:
计算机科学1区
文献类型:
--
作者:
Liu, Zhiquan;Weng, Jian;Wei, Kaimin

文献摘要

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车载自组织网络(VANESTs)最近引起了工业界和学术界的极大关注,以提高道路安全和交通效率。信任建模在虚拟网络安全中起着重要的作用,然而现有的信任模型并不能很好地适应虚拟网络安全的特点。提出了一种新的基于信任评估的应急消息分发模型(TCEMD),该模型将面向实体的信任值有效地融入到面向数据的信任评估中。在所提出的模型中,当紧急事件(例如,道路前方的障碍物)发生时,紧急消息可以以信任级联方式在附近的车辆之间传播,其中采用面向实体的信任值(其通过利用信任证书来评估和更新并且包含在消息中)作为重要权重。随后,对TCEMD模型对多种攻击和恶意行为的鲁棒性、容错特性、对几种特殊情况的兼容性以及激励机制进行了详细的理论分析。在典型的高速公路环境下进行了一系列的仿真和分析,结果表明,所提出的模型显着优于现有的模型在几种情况下。
Vehicular ad-hoc networks (VANETs) have recently attracted considerable attention from both industry and academia for improving road safety and traffic efficiency. Trust modeling plays a significant role in VANETs, however, the existing trust models cannot primely conform to the characteristics of VANETs. This article proposes a novel trust cascading-based emergency message dissemination (TCEMD) model which incorporates the entity-oriented trust values into data-oriented trust evaluation in an efficient manner. In the proposed model, when an emergency event (e.g., an obstacle in front of the road) occurs, the emergency messages can be disseminated among the nearby vehicles in a trust cascading manner, where the entity-oriented trust values (which are evaluated and updated by leveraging the trust certificates and are contained in the messages) are adopted as important weights. Subsequently, the theoretical analysis for the robustness against several kinds of attacks and malicious behaviors, failure tolerance features, compatibility for several kinds of special situations, and incentive mechanisms in the TCEMD model are detailed. Afterwards, a series of simulations and analyses are conducted in a typical highway environment, and the results reveal that the proposed model significantly outperforms the existing models in several cases.