基于 IoV 中边缘计算的消息共享方案
Shufen Niu1, Wei Liu1, Sen Yan1
1College of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China.
Mathematical biosciences and engineering : MBE
|December 21, 2023
概括
本研究介绍了使用边缘计算的汽车互联网 (IoV) 的安全消息共享方案. 它增强了数据隐私,并减少了车辆的计算负载,提高了 IoV 的安全性和效率.
科学领域:
- 网络安全 网络安全
- 无线通信无线通信
- 边缘计算 边缘计算
背景情况:
- 由于开放的云环境,汽车互联网 (IoV) 面临信息保密和车辆隐私方面的挑战.
- 现有的基于属性的加密方法给车辆带来了巨大的计算负担.
研究的目的:
- 为IoV提出一个新的消息共享方案,以解决安全漏洞和计算开销.
- 为了提高信息保密性,车辆身份隐私和IoV网络中的数据完整性.
主要方法:
- 使用基于属性的加密来实现安全的通信.
- 通过将加密/解密任务卸载到路边单位来实现边缘计算.
- 采用基于身份的匿名签名技术,用于信息完整性和身份保护.
- 集成批量验证用于有效的签名验证.
主要成果:
- 拟议的方案证明了信息保密和车辆身份隐私的增强安全性.
- 边缘计算显著降低了车辆的计算负载.
- 批量验证可以提高处理多个消息签名的效率.
- 根据基于计算的Diffie-Hellman问题的随机预言模型,安全性被证明是安全的.
结论:
- 开发的消息共享方案在计算上是高效的,适合于现实世界IoV应用程序.
- 边缘计算和先进的加密技术的整合为IoV安全挑战提供了强大的解决方案.
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