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Protection via Cyber Security Event Analysis Framework Using Full-Scope Plant Simulator Capabilities

机译：通过网络安全事件分析框架使用全面的工厂模拟器功能进行保护

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This paper provides an overview of a plant protection system that takes advantage of the existing full-scope plant simulator capabilities and extends them to form a cyber security event analysis framework integrating early warning systems from cyber-security indicators with safety and physical alerts. The resulting analytics platform supports a comprehensive assessment of the plant state in real time. Cyber indicators of compromise combined with the sensor data from physical observations will provide industrial users with information to help them decide whether or not alarms generated by the physical state of the system are due to random failures or if there is any indication of an attack. State-of-the-art control systems should offer intelligent components for timely reporting and understanding of the monitored plant behaviors in order to increase state-awareness of plant's operators and provide robust and early alarm reporting. The improved control system state-awareness is achieved via fusing input data from multiple sources and combining them into robust anomaly indicators. With a massive amount of collected data, ANN will provide a structure with interconnected units of input and output, creating a functional mapping that is able to accurately model underlying interdependencies between inputs and outputs. This results in an architecture that has unique capabilities for dealing with multi-dimensional nonlinear data. Nuclear engineering expertise is required to account for operational behavior, needs, and requirements. Cyber-security expertise is required to identify and address threats. The full-scope simulator serves as a development environment and a mock-up implementation facility representing an operating nuclear power plant to develop the communications analysis system and evaluate its performance in real-life operational scenarios.
机译：本文提供了一个植物保护系统的概述，该系统利用了现有的全范围植物模拟器功能，并将其扩展以形成一个网络安全事件分析框架，该框架将来自网络安全指标的预警系统与安全和物理警报集成在一起。最终的分析平台支持实时全面评估工厂状态。危害的网络指标与来自物理观测的传感器数据相结合，将为工业用户提供信息，以帮助他们确定系统的物理状态所生成的警报是否是由于随机故障或是否存在攻击迹象。最先进的控制系统应提供智能组件，以便及时报告和了解所监视的工厂行为，从而增强工厂操作员的状态意识并提供可靠的早期报警报告。通过融合来自多个来源的输入数据并将其组合为可靠的异常指示器，可以实现改进的控制系统状态感知。借助大量收集的数据，ANN将提供具有相互连接的输入和输出单元的结构，从而创建功能映射，从而能够准确地建模输入和输出之间的基本相互依赖性。这样就形成了一种具有处理多维非线性数据的独特功能的体系结构。需要核工程专业知识来说明操作行为，需求和要求。需要网络安全专家来识别和解决威胁。全范围模拟器充当开发环境和代表运行中的核电站的模型实施设施，用于开发通信分析系统并评估其在实际运行场景中的性能。

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