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Emergency warning messages dissemination in vehicular social networks: A trust based scheme

机译：车载社交网络中的紧急警报消息传播：基于信任的方案

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摘要

To ensure users' safety on the road, a plethora of dissemination schemes for Emergency Warning Messages (EWMs) have been proposed in vehicular networks. However, the issue of false alarms triggered by malicious users still poses serious challenges, such as disruption of vehicular traffic especially on highways leading to precarious effects. This paper proposes a novel Trust based Dissemination Scheme (TDS) for EWMs in Vehicular Social Networks (VSNs) to solve the aforementioned issue. To ensure the authenticity of EWMs, we exploit the user-post credibility network for identifying true and false alarms. Moreover, we develop a reputation mechanism by calculating a trust-score for each node based on its social-utility, behavior, and contribution in the network. We utilize the hybrid architecture of VSNs by employing social-groups based dissemination in Vehicle-to-Infrastructure (V2I) mode, whereas nodes' friendship-network in Vehicle-to-Vehicle (V2V) mode. We analyze the proposed scheme for accuracy by extensive simulations under varying malicious nodes ratio in the network. Furthermore, we compare the efficiency of TDS with state-of-the-art dissemination schemes in VSNs for delivery ratio, transmission delay, number of transmissions, and hop-count. The experimental results validate the significant efficacy of TDS in accuracy and aforementioned network parameters. (C) 2019 Elsevier Inc. All rights reserved.
机译：为了确保用户在旅途中的安全，已经提出了在车辆网络中大量的紧急警告消息（EWM）的传播方案。但是，由恶意用户触发的虚假警报问题仍然构成严峻的挑战，例如车辆交通的中断，尤其是在高速公路上导致不稳定的后果。本文针对车辆社交网络（VSN）中的EWM提出了一种新颖的基于信任的分发方案（TDS），以解决上述问题。为了确保EWM的真实性，我们利用用户发布信誉网络来识别真假警报。此外，我们通过根据节点的社会效用，行为和对网络的贡献来计算每个节点的信任分数，从而开发信誉机制。我们通过在车辆到基础设施（V2I）模式下采用基于社会群体的传播方式来利用VSN的混合体系结构，而在车辆到车辆（V2V）模式下采用节点的友谊网络。我们通过在网络中变化的恶意节点比率下进行广泛的仿真来分析所提出的方案的准确性。此外，我们将TDS的效率与VSN中最新的传播方案进行了比较，以了解传递比率，传输延迟，传输次数和跳数。实验结果验证了TDS在准确性和上述网络参数方面的显着功效。 （C）2019 Elsevier Inc.保留所有权利。

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  • 来源
    《Vehicular Communications》 |2020年第4期|100199.1-100199.16|共16页
  • 作者

    Ullah Noor; Kong Xiangjie; Ning Zhaolong; Tolbad Amr; Alrashoud Mubarak; Xia Feng;

  • 作者单位

    Dalian Univ Technol Sch Software Dalian 116620 Peoples R China;

    Dalian Univ Technol Sch Software Dalian 116620 Peoples R China|Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Peoples R China|Chongqing Inst Posts & Telecommun Chongqing Key Lab Mobile Commun Technol Chongqing 400065 Peoples R China;

    King Saud Univ Comp Sci Dept Community Coll Riyadh 11437 Saudi Arabia|Menoufia Univ Math & Comp Sci Dept Fac Sci Shibin Al Kawm 32511 Egypt;

    King Saud Univ Software Engn Dept Coll Comp & Informat Sci Riyadh 11437 Saudi Arabia;

    Dalian Univ Technol Sch Software Dalian 116620 Peoples R China|Federat Univ Australia Sch Sci Engn & Informat Technol Ballarat Vic Australia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Emergency warning messages; False alarm; Social trust; Vehicular social networks; Collision avoidance;

    机译：紧急警告信息;错误警报;社会信任;车载社交网络;避免碰撞;

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