volume | PIER Journals

2013-04-27

A Support Vector Machine for Identification of Monitors Based on Their Unintended Electromagnetic Emanation

Fan Mo,

Dr. Fan Mo

School of Electronic Engineering

Beijing University of Posts and Telecommunications

China

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Ying-Hua Lu,

Dr. Ying-Hua Lu

School of Electronic Engineering

Beijing University of Posts and Telecommunications

China

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Jinling Zhang,

Dr. Jinling Zhang

School of Electronic Engineering

Beijing University of Posts and Telecommunications

China

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Qiang Cui,

Dr. Qiang Cui

China Electronics Standardization Institute

China

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Sihai Qiu

Dr. Sihai Qiu

Department of Electrical Engineering

Beijing University of Posts and Telecommunications

China

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Progress In Electromagnetics Research M, Vol. 30, 211-224, 2013

doi:10.2528/PIERM12122406

Abstract

Electrical equipments usually radiate unintended emission which carries characteristic information when running, such as emanation from computers monitors, keyboards and other components, this emanation can be possibly used to reconstruct the source information. Most of the experiments related to this area are carried out inside a semi-anechoic chamber, and measurement out of it may not be considered to be optimal, because the data captured are usually not sufficient. Yet in this study, we take LCD monitors as typical examples and find that characteristics significantly differ between products, parameters such as the magnitude and spectrum were measured under normal environment. We take the PCB traces as antennas and acquire the raw signal directly near the antenna and extract the parameters to use as input to support vector machine (SVM) which was trained to identify the emanating source(LCD monitors). In this study, the method was tested using the emission captured from one Samsung (SyncMaster E1920) and two LG (L1753s) monitors, and a laptop(ACER Aspire 5542). The SVM was able to classify the source of signals with 98.9510% accuracy while using emission that captured from the running monitors.

Citation

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Fan Mo, Ying-Hua Lu, Jinling Zhang, Qiang Cui, and Sihai Qiu, "A Support Vector Machine for Identification of Monitors Based on Their Unintended Electromagnetic Emanation," Progress In Electromagnetics Research M, Vol. 30, 211-224, 2013.
doi:10.2528/PIERM12122406

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