Identification of Microcontroller Unit Instruction Execution Using Electromagnetic Leakage and Neural Network Classification
IEEE Transactions on Electromagnetic Compatibility(2022)
摘要
In this article, a novel method is proposed for determining the running state of a system through the classification of electromagnetic interference (EMI) leakage using neural network (NN) models. A modified IEC 61967 measurement platform is used to analyze the EMI signals of a microcontroller unit during its operation. A total of 17 NN models are developed and tested to determine the optimal model. The optimal NN model has ungrouped-Top3 and ungrouped-Top5 accuracies of 77.13% and 91.94%, respectively. The ungrouped-Top1 accuracy is improved by 7.53%. They are the highest improvements ever achieved to the best of the author's knowledge.
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关键词
Electromagnetic interference (EMI),IEC 61967,neural network (NN)
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