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

机译:基于故障树的PRA应用网络攻击场景的预防分析

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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:长期以来,基于事件树和故障树分析的概率风险评估(PRA)一直是在高危害设施中制定系统级和工厂级风险情景的流行且强大的技术[1]。基于事件树和故障树的PRA通常在核工业中使用诸如用于动手完整性可靠性评估的系统分析程序(SAPHIRE)[2]或计算机辅助故障树分析系统(CAFTA)[3]之类的工具执行。 PRA工作的目标通常是评估事件对公众或环境造成重大影响的风险。在这种情况下,PRA中的故障树和事件树分析主要集中于引发事件以及可能导致此类后果的系统和组件故障。但是,从原理上讲,网络攻击可能会导致更广泛的后果:计算机系统可能会遭受攻击,这可能导致系统,组织遭受破坏,财务损失或其他损害。这不仅是对企业的主要威胁,而且最近还影响了基础架构公用事业。在核电厂中,网络攻击的潜在后果可能包括不便,反应堆意外关闭或工厂损坏,或者(原则上)更糟;但是使用PRA模型通常无法解决此事故范围的低后果性问题。因此,重要的是要更好地了解核电厂中的网络攻击,并将其最小化。久经考验的故障树分析方法具有对NPP中的网络攻击场景进行全面,健壮,可扩展和有效评估的强大前景。本文提出了一种基于故障树的公式,用于水流回路中的网络攻击场景,该网络由流量控制器和泵组成,并通过手动控制,有线信号和易受网络攻击的无线信号进行控制。故障树分析技术已应用于可能导致系统故障的各种网络攻击。该分析提供了攻击场景的全面描述以及对导致系统故障至关重要的攻击路径的详尽列表,为制定执行网络攻击预防分析的策略铺平了道路。

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