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Download Cryptographic Hardware and Embedded Systems – CHES 2011: by Philipp Grabher, Johann Großschädl, Simon Hoerder, Kimmo PDF

By Philipp Grabher, Johann Großschädl, Simon Hoerder, Kimmo Järvinen, Dan Page (auth.), Bart Preneel, Tsuyoshi Takagi (eds.)

This booklet constitutes the lawsuits of the thirteenth foreign Workshop on Cryptographic and Embedded structures, CHES 2011, held in Nara, Japan, from September 28 till October 1, 2011.
The 32 papers provided including 1 invited speak have been conscientiously reviewed and chosen from 119 submissions. The papers are equipped in topical sections named: FPGA implementation; AES; elliptic curve cryptosystems; lattices; part channel assaults; fault assaults; light-weight symmetric algorithms, PUFs; public-key cryptosystems; and hash functions.

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Additional resources for Cryptographic Hardware and Embedded Systems – CHES 2011: 13th International Workshop, Nara, Japan, September 28 – October 1, 2011. Proceedings

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An evaluation of new processor instructions for accelerating selected cryptographic algorithms (2010) 35. : Covert and side channels due to processor architecture. In: ACSAC, pp. 473–482 (2006) 36. : How secure are FPGAs in cryptographic applications? In FPL. In: Y. K. A. ) FPL 2003. LNCS, vol. 2778, pp. 91–100. Springer, Heidelberg (2003) 37. : CryptoManiac: a fast flexible architecture for secure communication. In: ISCA, pp. 110–119 (2001) 38. Xilinx. 1 (2010), http://www. pdf 39. : Scan based side channel attack on dedicated hardware implementations of data encryption standard.

IEEE Transactions on Computers 58, 109–119 (2007) 16. : Self-Measurement of Combinatorial Circuit Delays in FPGAs. de Abstract. In this work, we propose and evaluate generic hardware countermeasures against DPA attacks for recent FPGA devices. The proposed set of FPGA-specific countermeasures can be combined to resist a large variety of first-order DPA attacks, even with 100 million recorded power traces. This set includes generic and resource-efficient countermeasures for on-chip noise generation, random-data processing delays and S-box scrambling using dual-ported block memories.

This metric represents the contribution of each counter value to the total number of ‘1’ in the output sequence. The metric values are shown in bottom plot (c) in Figure 14. To remove the bias in the output sequence in a systematic way as well as to eliminate predictable patterns, we propose a filtering mechanism based on the steady state counter values. The filter unit analyzes the output bit probabilities for each counter value within a window of specific size and flags the counter values that lead to outputs bits with skewed probabilities.

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