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Aerospace Cybersecurity Threat Vector Assessment

机译：航空航天网络安全威胁矢量评估

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摘要

A major part of world's critical infrastructure - such as communications, air transport, maritime traffic and trade, information services, weather and environmental monitoring and defense systems - depends on the space infrastructure, including satellites, ground stations and data links at national, regional and international levels. Satellites and other space assets, just like other parts of the digitized critical infrastructure, are vulnerable to cyberattack. Cyber vulnerabilities in space therefore pose serious risks for ground based critical infrastructure, and insecurities in the space environment. Cyber defense mechanisms are typically associated with more complexity in configuration, operational procedures and less optimal performance. Hence it is critical to assess the cyber vulnerability of space assets and the impact of cyber breach on any of them. Aerospace cybersecurity threat vector assessment is critical to estimate the impact of adverse incidences and necessary corrective actions. Prevention, detection, and corrective controls are assessed with quantitative risk assessment models. Aerospace cyber threat vector audit matrix is created with the help of graphical probabilistic models. As real time threat assessment indicators change, automated preemptive SIEM actions are taken. Threat vector assessment based on probabilistic models provide a mechanism to prioritize the cyber defense mechanisms and enables stake holders to optimize between cyber security, complexity of space systems, and operational effectiveness.
机译：世界批判性基础设施的主要部分 - 如通信，航空运输，海上交通和贸易，信息服务，天气和环境监测和国防系统 - 依赖于空间基础设施，包括国家，区域和国家，地区和国家的卫星，地面站和数据链接国际层面。卫星和其他空间资产，就像数字化关键基础设施的其他部分一样易受网络攻击。因此，空间中的网络漏洞为基于地面的关键基础设施构成严重风险，以及空间环境中的不安全感。网络防御机制通常与配置，操作程序和更优化的性能更复杂相关。因此，评估空间资产的网络脆弱性以及网络泄露对任何一个的影响至关重要。航空航天网络安全威胁矢量评估对于估计不利事件的影响和必要的纠正措施至关重要。通过定量风险评估模型评估预防，检测和校正控制。在图形概率模型的帮助下，创建了航空航天网络威胁矢量审计矩阵。随着实时威胁评估指标的变化，采取自动化先发制人的暹粒行动。基于概率模型的威胁矢量评估提供了一种机制，可以优先考虑网络防御机制，使股权保持器能够优化网络安全性，空间系统的复杂性和操作效率。

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