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GPU accelerated Differential Power Analysis

机译:GPU加速的差分功率分析

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Differential Power Analysis (DPA) is a powerful technique that has proven devastatingly effective against various encryption algorithms such as AES, Triple-DES and RSA. DPA has been able to successfully extract the secret key from these algorithms during the process of decrypting cyphertext information. Even in implementations with counter-measures, DPA can still be effective with additional traces, however at the cost of a corresponding increase in processing times. Hundreds of thousands to millions of traces may be necessary to defeat counter-measures; even high-end workstations can take days to process such large data sets. Graphics Processing Units (GPUs), available in most desktops as graphics cards on the other hand, have been effectively used in many parallel processing tasks. We use the GPU to accelerate DPA analysis and find a speedup of more than 200 times over workstation processing time. Using this method, we reduce computation time for a particular attack from 41 minutes to 12.24 seconds including the time for data transfer between the GPU and CPU.
机译:差分功率分析(DPA)是一项强大的技术,已证明对各种加密算法(例如AES,Triple-DES和RSA)具有毁灭性的效果。在解密密文信息的过程中,DPA能够从这些算法中成功提取密钥。即使在具有对策的实现中,DPA仍然可以通过附加跟踪来有效,但是会以相应增加处理时间为代价。要消除反措施,可能需要数十万至数百万条痕迹;甚至高端工作站也可能需要几天的时间来处理如此大的数据集。另一方面,在大多数台式机中作为图形卡可用的图形处理单元(GPU)已有效地用于许多并行处理任务中。我们使用GPU来加速DPA分析,并发现工作站处理时间的加速超过200倍。使用此方法,我们可以将特定攻击的计算时间从41分钟减少到12.24秒,其中包括GPU和CPU之间的数据传输时间。

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