Title :
A novel method for computer video leaking signal detection
Author :
Jun Shi ; Wei-qing Huang ; Dong Wei ; De-gang Sun
Author_Institution :
Inst. of Inf. Eng., Beijing, China
Abstract :
Video leaking signal detection is an important part of TEMPEST, which is the technologies research focus on the investigations and studies of compromising emanations. A novel video leaking signal detection algorithm based on spectral centroid has been developed. Using the property that spectral centroid can accurately identify the signal energy center in frequency domain, the proposed algorithm can detect the display video leaking signal automatically. The uniformity degree of spectral centroid spacing distribution is defined to distinguish the video leaking signal and clutter signal automatically. Furthermore, the ant-jamming and ant-noise performance of the developed algorithm is analyzed in a practical attack scenario.
Keywords :
Fourier transforms; jamming; security of data; signal detection; video signal processing; TEMPEST; ant-noise performance; antjamming performance; automatic signal clutter; computer video leaking signal detection; frequency domain; information security; signal energy center identification; spectral centroid uniformity degree; Algorithm design and analysis; Clutter; Correlation; Frequency synchronization; Harmonic analysis; Noise; Synchronization; compromising emanations; information security; signal detection; spectral centroid; video displays;
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on
Conference_Location :
Beijing
DOI :
10.1109/ASONAM.2014.6921695
