自主运输系统的安全分析,考虑人工智能驱动的网络攻击和保护
Oleg Illiashenko1,2, Vyacheslav Kharchenko1, Ievgen Babeshko1,2
1Department of Computer Systems, Networks and Cybersecurity, National Aerospace University "KhAI", 17, Chkalov Str., 61070 Kharkiv, Ukraine.
Entropy (Basel, Switzerland)
|August 26, 2023
概括
一种新的网络安全信息安全 (SIS) 方法提高了自主运输系统的安全性. 它整合了现有的方法,并引入了SISMECA,用于分析网络攻击和改进人工智能驱动的保护策略.
科学领域:
- 网络安全 网络安全
- 自主系统安全安全自主系统安全
- 风险评估 风险评估
背景情况:
- 自主运输系统 (ATS) 面临着复杂的安全和网络安全挑战.
- 现有的安全分析技术需要加强,以应对网络威胁.
研究的目的:
- 开发和评估以为导向的方法,网络安全信息安全 (SIS),用于ATS安全和可靠性.
- 引入一种新的技术,SISMECA,将FMECA和IMECA集成为网络安全信息安全分析.
主要方法:
- 扩展和整合FMECA (故障模式,影响和关键性分析) 和IMECA (入侵MECA).
- 开发SISMECA (基于SIS的入侵模式,效果和关键性分析),使用本体模型和模板.
- 采用基于场景的分析,用于系统保护的AI和AI平台要求分析.
主要成果:
- 在网络攻击条件下,SISMECA提供了一个分析ATS安全性和可靠性的框架.
- 该方法结合了人工智能,以加强系统保护和降低风险.
- 用户故事和人工智能平台的要求是基于风险评估和对策效率的开发.
结论:
- SIS方法和SISMECA提供了一个强大的方法来评估ATS对网络威胁的安全性.
- 人工智能在制定有效的对策和确保系统弹性方面发挥着至关重要的作用.
- 该框架支持各种参与者管理ATS安全和网络安全风险.
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