Alexander V. Veidenbaum,
University of California at Irvine –
Today’s general-purpose microprocessors support vector (SIMD) instructions. This creates opportunities for developing new compilation approach to mitigate the impact of faults on cryptographic implementations, which is subject of this work. A compiler-based approach is proposed to automatically and selectively apply vectorization in a cryptographic library. This transforms a standard software library into a library with vectorized code that is resistant to glitches. Unlike traditional vectorization for performance, the proposed compilation flow uses the multiple vactor lanes to introduce data redundancy in cryptographic computations. The approach has a low overhead in both code size and execution time. Experimental results show that the proposed approach only generates an average of 26% more dynamic instructions over a series of asymmetric cryptographic algorithms in the Libgcrypt library. Only 0.36% injected faults are undetected by this approach.
Alexander V. Veidenbaum holds a PhD degree in Computer Science from the University of Illinois at Urbana-Champaign. He is Professor of Computer Science at the University of California, Irvine. His research interests are computer architecture and compiler optimization for high-performance as well as embedded systems . He main contributions are in the areas of cache and processor design
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