Abstract
The security problem of screen image leakage from a display unit has become serious with the rapid speed of signal transmission technology. This paper presents a novel investigation on the characteristics of the power line compromising channel. Moreover, a measurement system has been actually developed for the leakage signal analyzing and image reconstruction. In order to overcome the degradation of reconstructed motion images and enhance the reconstructed image quality, a multi-image blind deconvolution method was proposed and test experiments were carried out to verify the effectiveness of the multi-image blind deconvolution algorithm based on the conducted signal from the power line.
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References
Eck, W.V.: Electromagnetic radiation from video display units: an eavesdropping risk? Comput. Secur. 4(85), 269–286 (1985)
Kuhn, M.G.: Eavesdropping attacks on computer displays. Inf. Secur. Summit, 24–25 (2006). Prague
Kuhn, M.G.: Electromagnetic eavesdropping risks of flat-panel displays. In: Martin, D., Serjantov, A. (eds.) PET 2004. LNCS, vol. 3424, pp. 88–107. Springer, Heidelberg (2005). doi:10.1007/11423409_7
Tanaka, H., Takizawa, O., Yamamura, A.: A trial of the interception of display image using emanation of electromagnetic wave. J. Inst. Image Electron. Eng. Jpn 34(1), 147–155 (2005)
Song, T.L., Jeong, Y.R., Yook, J.G.: Modeling of leaked digital video signal and information recovery rate as a function of SNR. IEEE Trans. Electromagn. Compat. 57(2), 164–172 (2015)
Yu-Lei, D.U., Ying-Hua, L.U., Zhang, J.L.: Eavesdropping the display image from conducted emission on network cable of a PC. J. China Univ. Posts Telecommun. 20, 78–84 (2013)
Miskin, J., Mackay, D.J.C.: Ensemble learning for blind image separation and deconvolution. In: Girolami, M. (ed.) Advances in Independent Component Analysis, pp. 123–141. Springer, London (2000)
Palmer, J.A., Wipf, D.P., Kreutz-Delgado, K., et al.: Variational EM algorithms for non-Gaussian latent variable models. In: International Conference on Neural Information Processing Systems, pp. 1059–1066. MIT Press (2005)
Acknowledgments
This work was supported by the National Natural Science Foundation of China (Y410041104) and Special Fund program for strategic technology, Chinese Academy of Sciences, China (No. XDA06010701).
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Yang, S., Hu, J., Huang, W. (2017). Recognition of Electro-Magnetic Information Leakage of Computer Based on Multi-image Blind Deconvolution. In: Ma, L., Khreishah, A., Zhang, Y., Yan, M. (eds) Wireless Algorithms, Systems, and Applications. WASA 2017. Lecture Notes in Computer Science(), vol 10251. Springer, Cham. https://doi.org/10.1007/978-3-319-60033-8_77
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DOI: https://doi.org/10.1007/978-3-319-60033-8_77
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