@inproceedings{f1ddaa3e5dc44621b72696d02c6cf772,
title = "A method to detect and locate the character information submerged in electromagnetic leakage signal",
abstract = "Electromagnetic emission from information technology equipment (ITE) can cause the information leakage. The eavesdroppers can reconstruct the information operated on the marked equipment by eavesdropping the electromagnetic radiation. In this paper, we design a method to detect whether existing character information in the leakage signal and located them automatically using machine learning algorithms. Gabor filter is used to extract the features of the electromagnetic leakage signal and relevance vector machine (RVM) is used to learn these features and make prediction for test signal. This method can also be used in the receiving system for electromagnetic leakage and guide to which signal is important to process. The experiment result show that this method can detect and locate the sensitive information submerged in electromagnetic leakage signal properly.",
keywords = "electromagnetic emission, Gabor filter, relevance vector machine, sensitive information",
author = "Huang Weiqing and Zhao Jianlin and Lv Zhiqiang and Ding Xuejie and Wang Lei",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016 ; Conference date: 20-05-2016 Through 22-05-2016",
year = "2016",
month = sep,
day = "2",
doi = "10.1109/ITNEC.2016.7560487",
language = "英语",
series = "Proceedings of 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "879--882",
editor = "Bing Xu",
booktitle = "Proceedings of 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016",
}