恶意行为的时间评估：应用于道岔现场数据监测

arXiv - CS - Systems and Control Pub Date : 2024-05-02 DOI:arxiv-2405.02346

Sara Abdellaoui, Emil Dumitrescu, Cédric Escudero, Eric Zamaï

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引用次数: 0

摘要

从铁路道岔收集的监测数据很容易受到网络攻击：攻击者可能会隐藏故障或触发不必要的维护行动。为解决这一问题，提出了一种基于道岔行为时间演变预测的网络攻击调查方法。然后将这些预测与现场获取的数据进行比较，以发现任何差异。该方法在一组真实数据中进行了说明。

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Temporal assessment of malicious behaviors: application to turnout field data monitoring

Monitored data collected from railway turnouts are vulnerable to cyberattacks: attackers may either conceal failures or trigger unnecessary maintenance actions. To address this issue, a cyberattack investigation method is proposed based on predictions made from the temporal evolution of the turnout behavior. These predictions are then compared to the field acquired data to detect any discrepancy. This method is illustrated on a collection of real-life data.

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arXiv - CS - Systems and Control

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