评估人机界面的人为因素和网络攻击:对安全和飞行员和管制员性能的威胁

Mark Miller, Sam Holley
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引用次数: 1

摘要

随着下一代ADS-B(in)系统以电子飞行包(EFB)垫装置的形式越来越普遍,航空领域自动化数字信息的现状继续迅速发展。包括卫星、飞机和空中交通管制(ATC)数据在内的综合系统目前没有有效加密,容易受到针对飞行甲板和空中交通管制设施的网络攻击。NextGen ATC系统从一开始就没有设计用于识别和消除网络威胁或破坏企图,安全差距已经扩大。数字人机界面(HMI)的性能错误已在航空领域得到充分记录,现在呈现出潜在的重大威胁,其中HMI更容易受到来自网络攻击的人为错误的影响。作者利用最近在波音737-Max事故中发现的HMI缺陷,对自动化系统产生的数字信息引起的HMI错误进行了评估。壳牌数字驾驶舱和ATC设施的计算机图表说明了系统现在如何相互连接以应对潜在的网络威胁,并确定了影响人机界面安全和操作员性能的人为因素后果如何呈现潜在危险。检查航空安全和报告系统(ASRS)数据并确认人机界面威胁。作者将各种人机界面错误与网络攻击对认知、态势感知和决策的影响进行了对比。一项评估网络攻击对认知指标影响的重点研究表明,当人机界面上的指示相互冲突或令人困惑时,操作员的认知清晰度会受到影响。在HMI环境的背景下,说明了成功识别网络攻击的困难以及作为人为因素对策所采取的行动。人为因素分析和分类系统(HFACS)用于展示网络攻击如何发生和解决,以及双路径解决方案。关键词:NextGen,网络攻击,SHELL,人机界面,认知负荷,HFACS
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing Human Factors and Cyber Attacks at the Human-Machine Interface: Threats to Safety and Pilot and Controller Performance
The current state of automated digital information in aviation continues to expand rapidly as NextGen ADS-B(In) systems become more common in the form of Electronic Flight Bag (EFB) pad devices brought onto the flight deck. Integrated systems including satellites, aircraft, and air traffic control (ATC) data currently are not effectively encrypted and invite exposure to cyber attacks targeting flight decks and ATC facilities. The NextGen ATC system was not designed from the outset to identify and nullify cyber threats or attempts at disruption, and the safety gap has enlarged. Performance error at digital human-machine interfaces (HMI) has been well documented in aviation and now presents a potentially significant threat where the HMI can be more susceptible to human error from cyber attacks. Examples of HMI errors arising from digital information produced by automated systems are evaluated by the authors using HMI flaws discovered in recent Boeing 737-Max accidents. SHELL computer diagrams for both the digital flight deck and ATC facilities illustrate how the system is now interconnected for potential cyber threats and identifies how human factors consequences compromising HMI safety and operator performance present potential dangers. Aviation Safety and Reporting System (ASRS) data are examined and confirm HMI threats. The authors contrast various HMI errors with cyber attack effects on cognition, situational awareness, and decision making. A focused examination to assess cyber attack effects on cognitive metrics suggests cognitive clarity of operators is confounded when confronted with conflicting or confusing indications at the HMI. Difficulty in successfully identifying a cyber attack and the actions taken as human factors countermeasures are illustrated in the context of the HMI environment. The Human Factors Analysis and Classification System (HFACS) is used to show how cyber attacks could occur and be addressed along with a dual-path solution.Keywords: NextGen, Cyber attack, SHELL, HMI, Cognitive load, HFACS
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