The increase in computational power of off-the-shelf hardware offers more and more advantageous tradeoffs among efficiency, cost and availability, thus enhancing the feasibility of of cryptanalytic attacks aiming to lower the security of widely used cryptosystems. In this paper we illustrate an GPU-based software implementation of the most efRcent variant of Data Encryption Standard (DES), showing the performance of a software breaker which effectively exploits the multi-core Nvidia GT200 graphic architecture. The key point is to assess how well the structure of a symmetric key cipher can fit the GPU programming model and the single instruction multiple data architectural parallelism. The proposed breaker outperforms the fastest general purpose CPU-based implementations by an order of magnitude, and, due to the vast availability of GPUs on the market, the speedup translates into a sound improvement in the cost efficiency of the attack. As opposed to solutions based either on applicatio...

(2010). Record Setting Software Implementation of DES Using CUDA [conference presentation - intervento a convegno]. Retrieved from http://hdl.handle.net/10446/24483

Record Setting Software Implementation of DES Using CUDA

PELOSI, Gerardo
2010-01-01

Abstract

The increase in computational power of off-the-shelf hardware offers more and more advantageous tradeoffs among efficiency, cost and availability, thus enhancing the feasibility of of cryptanalytic attacks aiming to lower the security of widely used cryptosystems. In this paper we illustrate an GPU-based software implementation of the most efRcent variant of Data Encryption Standard (DES), showing the performance of a software breaker which effectively exploits the multi-core Nvidia GT200 graphic architecture. The key point is to assess how well the structure of a symmetric key cipher can fit the GPU programming model and the single instruction multiple data architectural parallelism. The proposed breaker outperforms the fastest general purpose CPU-based implementations by an order of magnitude, and, due to the vast availability of GPUs on the market, the speedup translates into a sound improvement in the cost efficiency of the attack. As opposed to solutions based either on applicatio...
2010
Agosta, Giovanni; Barenghi, Alessandro; DE SANTIS, Fabrizio; Pelosi, Gerardo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/24483
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