New Method for Computer Identification Through Electromagnetic Radiation
Author(s) -
Jun Shi,
Zhujun Zhang,
Yangyang Li,
Rui Wang,
Hao Shi,
Xile Li
Publication year - 2018
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2018.03688
Subject(s) - electromagnetic compatibility , electromagnetic radiation , information leakage , computer science , electromagnetic environment , classifier (uml) , electromagnetic interference , radiation , artificial intelligence , electronic engineering , engineering , telecommunications , physics , computer security , optics
The electromagnetic waves emitted from devices can be a source of information leakage and can cause electromagnetic compatibility (EMC) problems. Electromagnetic radiation signals from computer displays can be a security risk if they are intercepted and reconstructed. In addition, the leaks may reveal the hardware information of the computer, which is more important for some attackers, protectors and security inspection workers. In this paper, we propose a statistical distribution based algorithm (SD algorithm) to extracted eigenvalues from electromagnetic radiate video signals, and then classified computers by using classifier based on Bayesian and SVM. We can identify computers automatically and accurately through electromagnetic radiation by using the algorithm in our experiment environment.
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