Recognition of electro-magnetic leakage information from computer radiation with SVM

被引：9

作者：

Zhang Hongxin ^{[1
,2
]}

Huang Yuewang ^{[1
]}

Wang Jianxin ^{[1
]}

Lu Yinghua ^{[1
]}

Zhang Jinling ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Sch Elect Engn, Beijing 100876, Peoples R China

[2] Chinese Acad Sci, Grad Sch, State Key Lab Informat Secur, Beijing 100049, Peoples R China

来源：

COMPUTERS & SECURITY | 2009年 / 28卷 / 1-2期

关键词：

EM radiation; Information leakage; Computer security; Support vector machine; SVMs network;

D O I：

10.1016/j.cose.2008.09.009

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper focuses on the far-field reception of electromagnetic (EM) radiation and the recognition of letters recovered from the EM leakage. EM radiation captured by a wideband antenna is strengthened by a pre-manipulation system with amplifiers and filters, and the useful information is extracted. After being recovered from the EM radiation with signal processing method, the text image is further recognized by support vector machine (SVM) algorithm. Here, a two-layered SVM network with 60 SVMs is constructed to recognize the letters. In the process, the text image is cut apart into single letters to meet the input requirement of letter-based SVMs. To handle those exceptions of stroke connections, an interactive method and an automatic method are proposed. The received text image is usually obtained in low resolution with characteristics of large stroke distortion, font variation and variable size. In our two applications, however, the recognition accuracy reached 99.2% for the larger font size texts and 96.4% for the smaller size texts. From this, we may draw a conclusion that the proposed SVMs network works well in recognizing textual information and emphasize the potential risk of information leakage for computer system. Crown Copyright (C) 2008 Published by Elsevier Ltd. All rights reserved.

引用

页码：72 / 76

页数：5