使用安全多方计算和区块链保护隐私的协作路由的激励机制
Chaojie Wang1, Srinivas Peeta1,2
1School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Sensors (Basel, Switzerland)
|January 23, 2024
概括
本研究介绍了在车辆到一切 (V2X) 网络中协作路由的隐私保护激励机制. 它使用安全的多方计算 (MPC) 和区块链来管理交通拥堵,同时保护用户数据.
科学领域:
- 计算机科学 计算机科学
- 运输工程 运输工程
- 网络安全 网络安全
背景情况:
- 交通拥堵是一个重大问题,源于供需不平衡.
- 互联汽车技术通过协作路线的激励机制提供了潜在的解决方案.
- 由于数据共享和验证要求,现有的机制面临隐私挑战.
研究的目的:
- 建议在车辆到一切 (V2X) 系统中提供协作路由的新型保护隐私的激励机制.
- 解决与信息共享和流量管理中的执行验证相关的隐私问题.
- 提高协作路由策略的效率和安全性.
主要方法:
- 利用安全的多方计算 (MPC) 来实现链外敏感数据处理和激励计算.
- 利用区块链技术来安全存储路线验证数据和激励管理.
- 实施一套路线验证方案,通过与目击车辆的链外门签名生成位置证明.
- 采用级联式多签名钱包,暂时结安全激励措施.
主要成果:
- 拟议的方案有效地保护了协作路由期间的用户隐私.
- 集成的MPC和区块链确保安全的激励分配和路线验证.
- 数字研究证明了开发的激励机制的效率和可实施性.
- 该系统成功地减轻了V2X协作路由固有的隐私风险.
结论:
- 开发的保护隐私的激励机制为V2X环境中的交通拥堵提供了可行的解决方案.
- 结合MPC和区块链技术,在协作路由中增强了安全性和隐私.
- 拟议的方法既有效又实用,可用于现实世界的实施.
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