A method to detect and locate the character information submerged in electromagnetic leakage signal
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.
electromagnetic emission Gabor filter relevance vector machine sensitive information
Huang Weiqing Zhao Jianlin Lv Zhiqiang Ding Xuejie Wang Lei
Institute of Information Engineering,Chinese Academy of Sciences Beijing,China Institute of Information Engineering,Chinese Academy of Sciences Beijing,China;University of Chinese
国际会议
重庆
英文
879-882
2016-03-20（万方平台首次上网日期，不代表论文的发表时间）