This paper presents ongoing work toward Electromagnetic Analysis (EMA) with signal processing techniques. Electromagnetic emission leaks confidential data of cryptographic devices. EMA exploits such information and reveals secret keys. It has been actively studied. We present three signal processing techniques: bandpass filtering, signal companding and independent component analysis (ICA), and apply them to EMA. The effectiveness is demonstrated through the analyses of encryption algorithms on synthesized application-specific integrated circuit (ASIC). Experiments show that the performance of EMA is greatly enhanced. The number of signals needed to reveal keys has been dramatically reduced. © 2011 Springer-Verlag.
CITATION STYLE
Liu, H., Tsunoo, Y., & Goto, S. (2011). Electromagnetic analysis enhancement with signal processing techniques (poster). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6812 LNCS, pp. 456–461). https://doi.org/10.1007/978-3-642-22497-3_35
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