Chaos‐based privacy preserving vehicle safety protocol for 5G Connected Autonomous Vehicle networks,Transactions on Emerging Telecommunications Technologies

当前位置： X-MOL 学术 › Trans. Emerg. Telecommun. Technol. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Chaos‐based privacy preserving vehicle safety protocol for 5G Connected Autonomous Vehicle networks
Transactions on Emerging Telecommunications Technologies ( IF 2.5 ) Pub Date : 2020-04-27 , DOI: 10.1002/ett.3966
Shuja Ansari ₁ , Jawad Ahmad ₂ , Syed Aziz Shah ₃ , Ali Kashif Bashir ₃ , Tuleen Boutaleb ₄ , Sinan Sinanovic ₄

Affiliation

There is a high demand for secure and reliable communications for Connected Autonomous Vehicles (CAVs) in the automotive industry. Privacy and security are key issues in CAVs, where network attacks can result in fatal accidents. The computational time, cost, and robustness of encryption algorithms are important factors in low latency 5G‐enabled secure CAV networks. The presented chaotic Tangent‐Delay Ellipse Reflecting Cavity‐Map system and PieceWise Linear Chaotic Map‐based encryption on short messages exchanged in a CAV network provide both robustness and high speed encryption. In this work, we propose a 5G radio network architecture, which leverages multiple radio access technologies and utilizes Cloud Radio Access Network functionalities for privacy preserved and secure CAV networks. The proposed Vehicular Safety Message identifier algorithm meets transmission requirements with a high probability of 85% for low round trip delay of ≤50 milliseconds. The proposed chaos‐based encryption algorithm exhibits faster speeds with a computational time of 2 to 3 milliseconds, showcasing its lightweight properties ideal for time critical applications.

中文翻译：

适用于5G互联自动车网络的基于混沌的隐私保护车安全协议

在汽车工业中，对用于连接自动驾驶汽车（CAV）的安全可靠的通信有很高的要求。隐私和安全性是CAV中的关键问题，在CAV中，网络攻击可能导致致命事故。加密算法的计算时间，成本和鲁棒性是启用5G低延迟的安全CAV网络的重要因素。针对在CAV网络中交换的短消息，提出的混沌切线-延迟椭圆反射腔映射系统和基于PieceWise线性混沌映射的加密提供了鲁棒性和高速加密。在这项工作中，我们提出了一种5G无线电网络架构，该架构利用了多种无线电接入技术，并利用云无线电接入网功能实现了隐私保护和安全的CAV网络。所提出的车辆安全消息识别器算法在≤50毫秒的低往返延迟下，以高概率85％满足了传输要求。所提出的基于混沌的加密算法具有更快的速度，计算时间为2到3毫秒，显示了其轻量级特性，非常适合时间紧迫的应用程序。

更新日期：2020-04-27

点击分享查看原文

点击收藏

阅读更多本刊最新论文本刊介绍/投稿指南11