An Efficient Elliptic Curve Cryptography-Based Secure Communication with Privacy Preserving for Autonomous Vehicle

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-06-06 DOI:10.1155/2024/5808088
Jiongen Xiao, Yi Liu, Yi Zou, Dacheng Li, Tao Leng
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Abstract

Internet of Vehicles can improve driving and riding experience, provide information needs, reduce environmental pollution, and improve transportation efficiency, thereby promoting the rapid development and application of intelligent transportation. Especially through the advantages of the rapidity of information exchange and the flexibility of real-time data processing, an autonomous vehicle can provide barrier-free, safe, and sustainable transportation. At present, the rapid progress of the Internet of Things has promoted the continuous development of a fully autonomous vehicle. However, the autonomous vehicle network uses wireless communication technology, and the openness of its communication channel makes the communication process vulnerable to various security attacks. Therefore, this paper proposes a practical and efficient secure communication in the autonomous vehicle. This scheme utilizes elliptic curve cryptography, which can protect the security of multiparty communication between vehicle, cloud server, and user with lower computation and communication overhead. This paper provides security verification for the scheme by using Scyther. An informal security analysis shows that this scheme can resist multiple attacks. Through a comparative analysis and performance evaluation of the schemes, we found that the scheme improves security while maintaining efficiency.

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基于椭圆曲线密码学的高效安全通信与自主车辆的隐私保护
车联网可以改善驾驶和乘坐体验,提供信息需求,减少环境污染,提高运输效率,从而推动智能交通的快速发展和应用。特别是通过信息交换的快速性和实时数据处理的灵活性等优势,自动驾驶汽车可以提供无障碍、安全和可持续的交通。目前,物联网的快速发展推动了全自动驾驶汽车的不断发展。然而,自动驾驶汽车网络采用的是无线通信技术,其通信信道的开放性使得通信过程容易受到各种安全攻击。因此,本文提出了一种实用高效的自动驾驶汽车安全通信方案。该方案利用椭圆曲线加密技术,能以较低的计算和通信开销保护车辆、云服务器和用户之间的多方通信安全。本文利用 Scyther 对该方案进行了安全验证。非正式安全分析表明,该方案可以抵御多种攻击。通过对方案进行比较分析和性能评估,我们发现该方案在提高安全性的同时还保持了效率。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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