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Identification of Computer Displays Through Their Electromagnetic Emissions Using Support Vector Machines

机译:使用支持向量机通过电磁辐射识别计算机显示器

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As a TEMPEST information security problem, electromagnetic emissions from the computer displays can be captured, and reconstructed using signal processing techniques. It is necessary to identify the display type to intercept the image of the display. To determine the display type not only significant for attackers but also for protectors to prevent display compromising emanations. This study relates to the identification of the display type using Support Vector Machines (SVM) from electromagnetic emissions emitted from computer displays. After measuring the emissions using receiver measurement system, the signals were processed and training/test data sets were formed and the classification performance of the displays was examined with the SVM. Moreover, solutions for a better classification under real conditions have been proposed. Thus, one of the important step of the display image capture can accomplished by automatically identification the display types. The performance of the proposed method was evaluated in terms of confusion matrix and accuracy, precision, F1-score, recall performance measures.
机译:作为TEMPEST信息安全问题,可以捕获和显示来自计算机显示器的电磁辐射,并使用信号处理技术对其进行重建。必须识别显示类型以拦截显示图像。确定显示类型不仅对攻击者有意义,而且对于保护者来说也很重要,可以防止显示损害发散性。这项研究涉及使用支持向量机(SVM)从计算机显示器发出的电磁辐射中识别显示器类型。在使用接收器测量系统测量排放后,处理信号并形成训练/测试数据集,并使用SVM检查显示器的分类性能。此外,已经提出了在真实条件下更好分类的解决方案。因此,显示图像捕获的重要步骤之一可以通过自动识别显示类型来完成。从混淆矩阵和准确性,精度,F1得分,召回性能指标等方面评估了所提出方法的性能。

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