Detecting Safety and Security Faults in PLC Systems with Data Provenance

2019 IEEE International Symposium on Technologies for Homeland Security (HST)(2019)

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摘要
Programmable Logic Controllers are an integral component for managing many different industrial processes (e.g., smart building management, power generation, water and wastewater management, and traffic control systems), and manufacturing and control industries (e.g., oil and natural gas, chemical, pharmaceutical, pulp and paper, food and beverage, automotive, and aerospace). Despite being used widely in many critical infrastructures, PLCs use protocols which make these control systems vulnerable to many common attacks, including man-in-the-middle attacks, denial of service attacks, and memory corruption attacks (e.g., array, stack, and heap overflows, integer overflows, and pointer corruption). In this paper, we propose PLC-PROV, a system for tracking the inputs and outputs of the control system to detect violations in the safety and security policies of the system. We consider a smart building as an example of a PLC-based system and show how PLC-PROV can be applied to ensure that the inputs and outputs are consistent with the intended safety and security policies.
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关键词
PLC systems,data provenance,programmable logic controllers,integral component,industrial processes,smart building management,power generation,wastewater management,traffic control systems,control industries,natural gas,pharmaceutical pulp,control system,common attacks,man-in-the-middle attacks,memory corruption attacks,security policies,intended safety,PLC-PROV
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