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Secure intelligent traffic light control using fog computing

机译:使用雾计算实现安全的智能交通灯控制

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摘要

As the number of vehicles grows, traffic efficiency is becoming a worldwide problem. Intelligent transportation system aims to improve the traffic efficiency, where intelligent traffic light control is an important component. Existing intelligent traffic light control systems face some challenges, e.g., avoiding heavy roadside sensors, resisting malicious vehicles and avoiding single-point failure. To cope with those challenges, we propose two secure intelligent traffic light control schemes using fog computing whose security are based on the hardness of the computational Diffie-Hellman puzzle and the hash collision puzzle respectively. The two schemes assume the traffic lights are fog devices. The first scheme is a simple extension of a recent scheme for defending denial-of-service attacks. We show this simple extension is not efficient when the vehicle density is high. The second scheme is much more efficient and is fog device friendly. Even the vehicle density is high, the traffic light may verify the validity of the vehicles efficiently.
机译:随着车辆数量的增长,交通效率正在成为世界范围的问题。智能交通系统旨在提高交通效率,其中智能交通灯控制是重要的组成部分。现有的智能交通灯控制系统面临一些挑战,例如,避免沉重的路边传感器,抵抗恶意车辆以及避免单点故障。为了应对这些挑战,我们提出了两种使用雾计算的安全智能交通灯控制方案,其安全性分别基于计算Diffie-Hellman难题和哈希碰撞难题的难度。这两种方案均假设交通信号灯是雾灯设备。第一种方案是用于防御拒绝服务攻击的最新方案的简单扩展。我们表明,当车辆密度较高时,这种简单的扩展方式效率不高。第二种方案效率更高,并且对雾化设备友好。即使车辆密度高,交通信号灯也可以有效地验证车辆的有效性。

著录项

  • 来源
    《Future generation computer systems》 |2018年第2期|817-824|共8页
  • 作者单位

    Shanghai Key Laboratory of Trustworthy Computing, School of Computer Science and Software Engineering, East China Normal University, China,School of Computer and Software, Nanjing University of Information Science and Technology, China;

    Shanghai Key Laboratory of Trustworthy Computing, School of Computer Science and Software Engineering, East China Normal University, China;

    Shanghai Key Laboratory of Trustworthy Computing, School of Computer Science and Software Engineering, East China Normal University, China,School of Computer and Software, Nanjing University of Information Science and Technology, China;

    Shanghai Key Laboratory of Trustworthy Computing, School of Computer Science and Software Engineering, East China Normal University, China;

    Shanghai Key Laboratory of Trustworthy Computing, School of Computer Science and Software Engineering, East China Normal University, China;

    Shanghai Key Laboratory of Trustworthy Computing, School of Computer Science and Software Engineering, East China Normal University, China;

    School of Computer and Software, Nanjing University of Information Science and Technology, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Intelligent transportation system; VANET; Traffic light control; Puzzle;

    机译:智能交通系统;VANET;交通灯控制;难题;

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