基于证据网络和敏感空间的威胁评估的可解释性

P. Kowalski, Maximilian Zocholl, A. Jousselme
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引用次数: 1

摘要

近年来发现的水下通信电缆的主要威胁之一是可能被恶意行为者篡改或破坏。本文在证据理论框架内提出了一种具有解释能力的解决方案来检测和调查这类威胁。该推理方案采用传统的“机会-能力-意图”威胁模型来评估给定船只可能构成威胁的程度。所讨论的场景考虑了来自不同来源的各种可能的信息片段。使用源质量模型对部分可靠源进行推理,并说明了该元信息对总体评估的影响。对相关变量之间的不确定关系进行了建模,并利用所构建的模型对四种不同类型船舶的威胁概率进行了研究。本文对其中一个案例进行了更详细的讨论,以证明其解释能力。通过比较不同信息对推理的影响的敏感空间,提供了关于推理的解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Explainability in threat assessment with evidential networks and sensitivity spaces
One of the main threats to the underwater communication cables identified in the recent years is possible tampering or damage by malicious actors. This paper proposes a solution with explanation abilities to detect and investigate this kind of threat within the evidence theory framework. The reasoning scheme implements the traditional “opportunity-capability-intent” threat model to assess a degree to which a given vessel may pose a threat. The scenario discussed considers a variety of possible pieces of information available from different sources. A source quality model is used to reason with the partially reliable sources and the impact of this meta-information on the overall assessment is illustrated. Examples of uncertain relationships between the relevant variables are modelled and the constructed model is used to investigate the probability of threat of four vessels of different types. One of these cases is discussed in more detail to demonstrate the explanation abilities. Explanations about inference are provided thanks to sensitivity spaces in which the impact of the different pieces of information on the reasoning are compared.
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