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Fault-Tree Based Prevention Analysis of Cyber-Attack Scenarios for PRA Applications

机译:基于故障树的预防PRA应用网络攻击场景

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Probabilistic risk assessment (PRA) based on event- and fault-tree analyses has long been a popular and powerful technique for formulating system- and plant-level risk scenarios in high-hazard facilities [1]. Event- and fault-tree-based PRA is commonly performed in the nuclear industry using tools like Systems Analysis Programs for Hands-on Integrity Reliability Evaluation (SAPHIRE) [2] or the Computer Aided Fault Tree Analysis System (CAFTA) [3]. Often, the goal of a PRA effort is to assess the risk of events having high consequences to the public or the environment. In such a case, the fault-tree and event-tree analyses in a PRA mostly focus on initiating events and system and component failures that would result in such consequences. However, a much broader spectrum of consequences is possible in principle from cyber-attack: a computer system could be exposed to an attack that could lead to disruption, financial loss or other damage to the system and its organization. It is not only a major threat for businesses, but has recently impacted infrastructure utilities. In a nuclear power plant, the potential consequences of cyber-attack may range from an inconvenience to unplanned reactor shutdowns or to plant damage, or (in principle) worse; but the low-consequence end of this accident spectrum is not typically addressed using PRA models. Hence it is important to understand better, and minimize the risk of, cyber-attacks in nuclear power plants. The proven fault-tree analysis methodology holds a strong promise of a comprehensive, robust, scalable, and efficient assessment of cyber-attack scenarios in NPPs. This paper presents a fault-tree based formulation for a cyber-attack scenario in a water flow-loop comprised of flow controllers and pumps, controlled via manual controls, wired signals and wireless signals that is susceptible to a cyber-attack. The fault-tree analysis technique is applied to a variety of cyber-attacks that may result in system failure. The analysis provides a comprehensive picture of the attack scenarios and an exhaustive list of attack pathways that are critical for causing system failure, paving the way for formulating strategies of performing cyber-attack prevention analysis.
机译:基于事件和故障树分析的概率风险评估(PRA)长期以来一直是制定高危险设施中的系统和植物级风险场景的流行和强大的技术[1]。基于事件和故障树的PRA通常在核工业中使用系统分析程序,用于动手完整性可靠性评估(Saphire)[2]或计算机辅助故障树分析系统(CAFTA)[3]。通常,PRA努力的目标是评估对公众或环境具有高影响的事件的风险。在这种情况下,PRA中的故障树和事件树分析主要侧重于启动事件和系统和组件故障,从而导致这种后果。然而,原则上可以从网络攻击方面进行更广泛的后果:计算机系统可能会暴露在可能导致系统及其组织的中断,财务损失或其他损害的攻击。它不仅对企业的重大威胁,而且影响了基础设施公用事业。在核电站中,网络攻击的潜在后果可能会因未经计划的反应器停止或植物损坏或(原则)更差的不便。但是通常不使用PRA模型解决该事故频谱的低后果末端。因此,重要的是要了解更好,并尽量减少核电厂中网络攻击的风险。经过验证的故障树分析方法具有对NPPS中的网络攻击情景的全面,稳健,可扩展性和有效的评估具有很强的承诺。本文介绍了基于故障树的制定,用于由流量控制器和泵组成的水流环中的网络攻击场景,通过手动控制控制,有线信号和易受网络攻击的无线信号。故障树分析技术应用于可能导致系统故障的各种网络攻击。该分析提供了攻击情景的全面图像以及对导致系统故障至关重要的攻击途径的详尽迹象,为制定进行网络攻击预防分析的策略铺平了途径。

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