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Man‐in‐the‐middle attacks and defence in a power system cyber‐physical testbed

Patrick Wlazlo, Abhijeet Sahu, Zeyu Mao, Hao Huang, Ana Goulart, Katherine Davis, Saman Zonouz

2021IET Cyber-Physical Systems Theory & Applications121 citationsDOIOpen Access PDF

Abstract

Abstract Man‐in‐The‐Middle (MiTM) attacks present numerous threats to a smart grid. In a MiTM attack, an intruder embeds itself within a conversation between two devices to either eavesdrop or impersonate one of the devices, making it appear to be a normal exchange of information. Thus, the intruder can perform false data injection (FDI) and false command injection (FCI) attacks that can compromise power system operations, such as state estimation, economic dispatch, and automatic generation control (AGC). Very few researchers have focused on MiTM methods that are difficult to detect within a smart grid. To address this, we are designing and implementing multi‐stage MiTM intrusions in an emulation‐based cyber‐physical power system testbed against a large‐scale synthetic grid model to demonstrate how such attacks can cause physical contingencies such as misguided operation and false measurements. MiTM intrusions create FCI, FDI, and replay attacks in this synthetic power grid. This work enables stakeholders to defend against these stealthy attacks, and we present detection mechanisms that are developed using multiple alerts from intrusion detection systems and network monitoring tools. Our contribution will enable other smart grid security researchers and industry to develop further detection mechanisms for inconspicuous MiTM attacks.

Topics & Concepts

Man-in-the-middle attackTestbedComputer securityComputer scienceEmulationSmart gridCyber-attackCyber-physical systemElectric power systemGridIntrusion detection systemCritical infrastructurePower (physics)EngineeringComputer networkElectrical engineeringEncryptionEconomic growthEconomicsGeometryOperating systemQuantum mechanicsPhysicsMathematicsSmart Grid Security and ResilienceNetwork Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting