Modeling of leaked digital video signal and information recovery rate as a function of SNR

Tae Lim Song, Yi Ru Jeong, Jong Gwan Yook

Research output: Contribution to journalArticlepeer-review

47 Citations (Scopus)


Substantial information leakage at PC monitors and TV systems arises in the form of unintentional emissions of high-speed digital video signals, such as DVI/HDMI. The information recovery rate from the emanated video signal varies depending on the SNR of the receiver system, which is placed a certain distance away. In this study, a situation in which the signal from a digital video system is intercepted is modeled using full-wave electromagnetic and circuit simulations. For a quantitative evaluation of the eavesdropping threat of display systems and the effect of its countermeasure, the readability of characters on a hypothetical screen as a function of the BER of the recovery signals is presented. It is clear that a decrease of the SNR of the received signal causes a deterioration of the digital video signal-recovery rate and consequently degrades the legibility of the characters on the intercepted screen. It is expected that these techniques can be useful for measurements and analyses of the effects of countermeasures, such as noise jamming or signal modulation, to prevent interceptions of digital video information.

Original languageEnglish
Article number6985629
Pages (from-to)164-172
Number of pages9
JournalIEEE Transactions on Electromagnetic Compatibility
Issue number2
Publication statusPublished - 2015 Apr 1

Bibliographical note

Funding Information:
This work was partially supported by the Intelligence Advanced Research Projects Activity (IARPA) via Department of Interior National Business Center contract number D11PC20068. Deyu Meng was partially supported by the China NSFC project under contract 61373114. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon. Disclaimer: The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of IARPA, DoI/NBC, or the U.S. Government. This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by the National Science Foundation grant number OCI-1053575. It used the Blacklight system at the Pittsburgh Supercomputing Center (PSC).

Publisher Copyright:
© 1964-2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Condensed Matter Physics
  • Electrical and Electronic Engineering


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