自动驾驶汽车的自觉网络安全架构:通过系统级问责制来实现安全.
Akwasi Adu-Kyere1, Ethiopia Nigussie1, Jouni Isoaho1
1Department of Computing, University of Turku, Vesilinnatie 5, 20500 Turku, Finland.
Sensors (Basel, Switzerland)
|November 14, 2023
概括
智能汽车需要动态安全. 本研究介绍了一种层次的自我意识安全架构,用于连接车辆的系统级问责制,以增强实时威胁响应.
科学领域:
- 网络安全 网络安全
- 智能运输系统 智能运输系统
- 汽车工程 汽车工程
背景情况:
- 智能汽车面临着由于连接和数据交换的增加而不断升级的安全风险.
- 车辆与一切 (V2X) 通信的演变加剧了安全复杂性,需要适应性解决方案.
- 目前的静态安全措施不足以应对智能汽车环境的动态性.
研究的目的:
- 为智能汽车提出一种新的等级自觉安全架构.
- 在车辆的安全框架内建立系统级的问责制.
- 为了证明这种架构对未来移动的相关性和有效性.
主要方法:
- 开发一个层次化的安全架构,强调自我意识和问责制.
- 集成的算法实时监控,分析和决策跨安全层.
- 实施安全特定的车载黑子与外部虚拟安全操作中心 (VSOC) 集成.
主要成果:
- 拟议的架构使系统级问责制成为可能,超越了静态的安全方法.
- 层次层次的层次层次促进实时安全操作,包括监控和分析.
- 与VSOC集成可以增强远程安全管理和响应能力.
结论:
- 层次化的自我意识安全架构为智能汽车安全提供了强大的,适应性的解决方案.
- 系统层面的问责制对于管理互联和自动驾驶汽车的复杂性至关重要.
- 这种方法增强了实时安全决策,并有效地整合了车载和外部安全操作.
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