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Reliable Hardware Architectures for the Third-Round SHA-3 Finalist Grostl Benchmarked on FPGA Platform

Authors: Mehran Mozaffari Kermani; Arash Reyhani-Masoleh;

Reliable Hardware Architectures for the Third-Round SHA-3 Finalist Grostl Benchmarked on FPGA Platform

Abstract

The third round of competition for the SHA-3 candidates is ongoing to select the winning function in 2012. Although much attention has been devoted to the performance and security of these candidates, the approaches for increasing their reliability have not been presented to date. In this paper, for the first time, we propose a high-performance scheme for fault detection of the SHA-3 round-three candidate Grostl which is inspired by the Advanced Encryption Standard (AES). We propose a low-overhead fault detection scheme by presenting closed formulations for the predicted signatures of different transformations of this SHA-3 third-round finalist. These signatures are derived to achieve low overhead and include one or multi-bit parities and byte/word-wide predicted signatures. The proposed reliable hardware architectures for Grostl are implemented on Xilinx Virtex-6 FPGA family to benchmark their hardware and timing characteristics. The results of our evaluations show high error coverage and acceptable overhead for the proposed scheme.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Average
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