Revisiting a Methodology for Efficient CNN Architectures in Profiling Attacks
Revisiting a Methodology for Efficient CNN Architectures in Profiling Attacks
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重新审视攻击分析中高效 CNN 架构的方法
DOI：
10.13154/tches.v2020.i3.147-168
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
B. Preneel
中科院分区：
文献类型：
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作者：
Lennert Wouters;Víctor Arribas;Benedikt Gierlichs;B. Preneel
这项工作对Zaid等人发表的题为“Profiling attacks中高效CNN架构的方法”的论文进行了批判性审查，该论文发表在TCHES Volume 2020，Issue 1上。这项工作研究了CNN网络的设计，以执行嵌入式设备的AES的多个实现的边信道分析。基于作者的代码和公共数据集，我们能够交叉检查他们的结果并进行彻底的分析。我们通过仔细检查Zaid等人提出的模型架构的不同元素来纠正多种误解。首先，通过更好地理解这些模型的内部工作原理，我们可以将其参数数量平均减少52%，同时保持类似的性能。其次，我们证明了卷积滤波器的大小与迹线中的未对准量并不严格相关。第三，我们证明了增加滤波器大小和卷积次数实际上可以提高网络的性能。我们的工作再次表明，可重复性和审查是学术研究的重要支柱。因此，我们为读者提供了一个在线的Python笔记本，它允许复制我们的一些实验1，并在Github上提供了其他示例代码。
This work provides a critical review of the paper by Zaid et al. titled “Methodology for Efficient CNN Architectures in Profiling attacks”, which was published in TCHES Volume 2020, Issue 1. This work studies the design of CNN networks to perform side-channel analysis of multiple implementations of the AES for embedded devices. Based on the authors’ code and public data sets, we were able to cross-check their results and perform a thorough analysis. We correct multiple misconceptions by carefully inspecting different elements of the model architectures proposed by Zaid et al. First, by providing a better understanding on the internal workings of these models, we can trivially reduce their number of parameters on average by 52%, while maintaining a similar performance. Second, we demonstrate that the convolutional filter’s size is not strictly related to the amount of misalignment in the traces. Third, we show that increasing the filter size and the number of convolutions actually improves the performance of a network. Our work demonstrates once again that reproducibility and review are important pillars of academic research. Therefore, we provide the reader with an online Python notebook which allows to reproduce some of our experiments1 and additional example code is made available on Github.2
静态功率侧信道分析——测量因素的研究
DOI：
10.1109/tvlsi.2019.2948141
发表时间：
2020
影响因子：
2.8
作者：
T. Moos;A. Moradi;B. Richter
通讯作者：
B. Richter
建设性的侧信道分析和安全设计
DOI：
10.1007/978-3-319-10175-0_3
发表时间：
2014
期刊：
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影响因子：
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作者：
Banciu V
通讯作者：
Banciu V