Scenario Analysis of Threats Posed to Critical Infrastructures by Civilian Drones

Moritz Schneider, D. Lichte, Dustin Witte, Stephan Gimbel, E. Brucherseifer
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引用次数: 2

Abstract

Threats posed by civilian drones are becoming an increasing security risk for critical infrastructures as well as events or companies. In order to protect an asset against a drone intrusion a security system is necessary, which in general is described by its capabilities of protection, detection, and intervention. The variety of different threat scenarios posed by drones raises the need for detailed analysis of scenario specific requirements on detection systems. However, there is a lack of comprehensive scenario analyses in the literature that include relevant parameters for detection. Thus, in this paper a scenario analysis is conducted to identify consistent threat scenarios including factors critical for drone detection. The study is based on morphological analysis and applies methods of influence analysis and Cross-Impact Balance analysis. Using these methods, factors that influence the detectability of drones are specified and key factors identified. Potential states of these key factors are determined based on literature reviews or expert interviews. For the assessment of internal consistency of a scenario, a Cross-Impact-Balance analysis is conducted. Exemplarily, the paper shows how a remaining consistent scenario can be applied to derive requirements for a drone detection system or to validate existing systems regarding suitability for feasible threat scenarios.
民用无人机对关键基础设施威胁的情景分析
民用无人机构成的威胁正在成为关键基础设施以及活动或公司日益严重的安全风险。为了保护资产免受无人机入侵,安全系统是必要的,通常由其保护、检测和干预能力来描述。无人机带来的各种不同威胁场景提出了对探测系统特定场景要求的详细分析的需要。然而,文献中缺乏包括相关检测参数的综合情景分析。因此,本文进行了场景分析,以识别一致的威胁场景,包括无人机检测的关键因素。本研究以形态分析为基础,运用影响分析和交叉影响平衡分析的方法。利用这些方法,明确了影响无人机可探测性的因素,确定了关键因素。这些关键因素的潜在状态是根据文献综述或专家访谈确定的。为了评估情景的内部一致性,进行了交叉影响平衡分析。举例来说,本文展示了如何应用一个保持一致的场景来推导无人机探测系统的需求,或验证现有系统对可行威胁场景的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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