학술논문

Modeling Radio-Frequency Effects on a Microcontroller
Document Type
Conference
Source
2019 International Conference on Electromagnetics in Advanced Applications (ICEAA) Electromagnetics in Advanced Applications (ICEAA), 2019 International Conference on. :1050-1053 Sep, 2019
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Geoscience
Photonics and Electrooptics
Power, Energy and Industry Applications
Microcontrollers
Clocks
Electromagnetics
Radio frequency
Electromagnetic interference
Integrated circuit modeling
Pulse measurements
intentional EMI
predictive model
microcontroller
effects
Language
Abstract
The ability to understand and predict the effects on electronic systems that might result from an intentional EMI attack is crucial to defending critical electronic systems against such a threat. To address this need we are building a predictive model for effects on digital electronics, based on combining electromagnetic coupling models with an investigation of the response of electronics at the device, circuit and system level. As a critical part of this work we have focused our research on understanding and predicting the response of a microcontroller to a high-power electromagnetic waveform. Our approach is to expose the microcontroller to electromagnetic pulses with carefully controlled onset times and durations, while making use of software implemented in assembly language to exercise various functional areas and hence various physical regions of the microcontroller, with the aim of developing fundamental insight into the upset mechanism. In this paper we address how the effect of an electromagnetic pulse on a specific microcontroller varies with pulse duration. In particular we explore how the system responds to two pulses injected at various times while the microcontroller is executing a specified instruction, and investigate the question of when these pulses may be considered as independent events. We present the results from our experiments, as well as summarizing some of our recent work aimed at building a general predictive model.