传感器系统电磁干扰攻击的检测

Kasper Bonne Rasmussen, Youqian Zhang
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引用次数: 40

摘要

每当微控制器需要与物理世界交互时,就会使用传感器系统。它们在家庭自动化、工厂控制系统、关键基础设施、运输系统和许多其他事物中都有大量应用。在传感器系统中,传感器将物理量转换为模拟信号,并将其发送给ADC和微控制器进行数字化和进一步处理。一旦测量结果是数字形式,微控制器就可以根据测量结果执行任务。电磁干扰(EMI)可以影响测量,因为它被转移到微控制器。攻击者可以通过故意在传感器和微控制器之间的导线中诱导EMI来操纵传感器输出。传感器和微控制器之间的模拟通道的性质意味着微控制器无法验证测量是来自传感器还是攻击者。如果微控制器在其控制决策中包含不正确的测量,则可能产生灾难性的后果。我们提出了一种针对这些低水平电磁干扰攻击的新型检测系统。我们的系统基于这样的想法,即如果传感器关闭,微控制器读取的信号应该是0V(或其他一些已知值)。我们利用这个想法以一种对手无法预测的方式调制传感器输出。如果微控制器检测到传感器输出的波动,就可以检测到攻击信号。我们的建议使用了最少的额外组件,因此成本低廉,易于实现。给出了检测方法的工作机制,并证明了在强攻击者模型下的检测保证。我们在麦克风系统和温度传感器系统中实现了我们的方法,以检测对抗性EMI信号,并且我们表明我们的检测机制既有效又鲁棒。
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Detection of Electromagnetic Interference Attacks on Sensor Systems
Sensor systems are used every time a microcontroller needs to interact with the physical world. They are abundant in home automation, factory control systems, critical infrastructure, transport systems and many, many other things.In a sensor system, a sensor transforms a physical quantity into an analog signal which is sent to an ADC and a microcontroller for digitization and further processing. Once the measurement is in digital form, the microcontroller can execute tasks according to the measurement. Electromagnetic interference (EMI) can affect a measurement as it is transferred to the microcontroller. An attacker can manipulate the sensor output by intentionally inducing EMI in the wire between the sensor and the microcontroller. The nature of the analog channel between the sensor and the microcontroller means that the microcontroller cannot authenticate whether the measurement is from the sensor or the attacker. If the microcontroller includes incorrect measurements in its control decisions, it could have disastrous consequences.We present a novel detection system for these low-level electromagnetic interference attacks. Our system is based on the idea that if the sensor is turned off, the signal read by the microcontroller should be 0V (or some other known value). We use this idea to modulate the sensor output in a way that is unpredictable to the adversary. If the microcontroller detects fluctuations in the sensor output, the attacking signal can be detected. Our proposal works with a minimal amount of extra components and is thus cheap and easy to implement.We present the working mechanism of our detection method and prove the detection guarantee in the context of a strong attacker model. We implement our approach in order to detect adversarial EMI signals, both in a microphone system and a temperature sensor system, and we show that our detection mechanism is both effective and robust.
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