汽车互联网的区块链辅助声誉管理方案
Qian Liu1,2,3,4, Junquan Gong1,2,3, Qilie Liu1,2,3
1School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
Sensors (Basel, Switzerland)
|July 11, 2023
概括
这项研究引入了用于汽车互联网 (IoV) 的新声誉系统,该系统使用多重主观逻辑算法来检测异常车辆,并通过区块链安全地共享数据.
科学领域:
- 网络安全 网络安全
- 计算机网络 计算机网络
- 人工智能的人工智能
背景情况:
- 车辆互联网 (IoV) 和移动边缘计算 (MEC) 实现了高效的车辆数据共享.
- 边缘计算节点和异常车辆为IoV网络带来了重大安全风险.
- 现有的安全措施很难有效地识别和减轻异常车辆带来的威胁.
研究的目的:
- 为 IoV 网络提出一个新的声誉管理方案.
- 增强在 IoV 环境中数据存储和共享的安全性.
- 提高车辆网络中异常车辆的检测率.
主要方法:
- 开发了一种改进的多源多重量主观逻辑算法,用于声誉管理.
- 综合直接和间接的意见反,使用主观逻辑信任模型.
- 包括诸如事件有效性,熟悉性,及时性和轨迹相似性等因素.
- 利用区块链技术进行安全的数据存储和共享.
- 实施定期更新车辆声誉值,并通过值识别异常车辆.
主要成果:
- 拟议的算法有效地融合了各种数据源,以进行可靠的声誉评估.
- 使用定义的声誉值,可以准确识别异常车辆.
- 区块链集成确保了防改数据存储和安全共享.
- 该计划在现实世界轨迹数据分析中证明了异常车辆的差异化和检测率的提高.
结论:
- 新的声誉管理方案显著提高了 IoV 网络的安全性.
- 改进的主观逻辑算法为识别恶意或异常车辆提供了可靠的方法.
- 区块链技术为IOV生态系统中的数据管理提供了安全的基础.
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