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Real-Time Safety Assessment of Unmanned Aircraft Systems Against Stealthy Cyber Attacks

机译:无人机对隐身网络攻击的实时安全评估

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摘要

As unmanned aircraft systems become an increasingly integral part of a wide range of applications, ensuring the security of these systems against malicious cyber attacks is a very important concern. To address this problem, this paper considers a controls domain approach extending beyond the computing resources of the unmanned aircraft system to include the underlying physical behavior of the compromised system, successfully complementing the traditional computer security architecture. Specifically, the focus is on the safety analysis of an unmanned aircraft system in the presence of stealthy cyber attacks, which can be designed intelligently to avoid detection. First, the system condition that confines the stealthy attacker's capability is derived. Then, a real-time safety assessment algorithm is developed based on a reachability analysis. Compared to the existing research, the present algorithm analytically derives the exact reachable set, enabling more reliable and computationally efficient safety assessment. The proposed safety assessment algorithm is demonstrated by illustrative examples with different attack scenarios.
机译:随着无人驾驶飞机系统日益成为各种应用程序中不可或缺的一部分,确保这些系统的安全性免受恶意网络攻击已成为非常重要的问题。为了解决这个问题,本文考虑了一种控制域方法,该方法扩展到了无人飞机系统的计算资源之外,还包括了受感染系统的基本物理行为,从而成功地补充了传统的计算机安全体系结构。具体来说,重点是在存在隐式网络攻击的情况下对无人飞机系统的安全性分析,可以对其进行智能设计以避免检测。首先,得出限制隐身攻击者能力的系统条件。然后,基于可达性分析,开发了一种实时安全评估算法。与现有研究相比,本算法通过分析得出确切的可到达集合,从而实现更可靠和计算效率更高的安全评估。提出的安全评估算法通过具有不同攻击场景的说明性示例进行了演示。

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