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Detection of Electromagnetic Signal Injection Attacks on Actuator Systems

2022/03/14 by Youqian Zhang, Zhang, Youqian, Kasper Rasmussen +1 · 1 citation
Computer Science · Engineering · #Cryptographic Implementations and Security #Cryptography and Security (cs.CR) #Electrostatic Discharge in Electronics #FOS: Computer and information sciences #Smart Grid Security and Resilience #cs.CR

paper · pdf · doi:10.48550/arxiv.2203.07102

arxiv created 2022/03/14 · openalex publication_date 2022/03/14 · arxiv updated 2022/03/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

An actuator is a device that converts electricity into another form of energy, typically physical movement. They are absolutely essential for any system that needs to impact or modify the physical world, and are used in millions of systems of all sizes, all over the world, from cars and spacecraft to factory control systems and critical infrastructure. An actuator is a "dumb device" that is entirely controlled by the surrounding electronics, e.g., a microcontroller, and thus cannot authenticate its control signals or do any other form of processing. The problem we look at in this paper is how the wires that connect an actuator to its control electronics can act like antennas, picking up electromagnetic signals from the environment. This makes it possible for a remote attacker to wirelessly inject signals (energy) into these wires to bypass the controller and directly control the actuator. To detect such attacks, we propose a novel detection method that allows the microcontroller to monitor the control signal and detect attacks as a deviation from the intended value. We have managed to do this without requiring the microcontroller to sample the signal at a high rate or run any signal processing. That makes our defense mechanism practical and easy to integrate into existing systems. Our method is general and applies to any type of actuator (provided a few basic assumptions are met), and can deal with adversaries with arbitrarily high transmission power. We implement our detection method on two different practical systems to show its generality, effectiveness, and robustness.

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