Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Practical Approaches Towards Deep-Learning Based Cross-Device Power Side
  Channel Attack   Power side-channel analysis (SCA) has been of immense interest to most
embedded designers to evaluate the physical security of the system. This work
presents profiling-based cross-device power SCA attacks using deep learning
techniques on 8-bit AVR microcontroller devices running AES-128. Firstly, we
show the practical issues that arise in these profiling-based cross-device
attacks due to significant device-to-device variations. Secondly, we show that
utilizing Principal Component Analysis (PCA) based pre-processing and
multi-device training, a Multi-Layer Perceptron (MLP) based 256-class
classifier can achieve an average accuracy of 99.43% in recovering the first
key byte from all the 30 devices in our data set, even in the presence of
significant inter-device variations. Results show that the designed MLP with
PCA-based pre-processing outperforms a Convolutional Neural Network (CNN) with
4-device training by ~20%in terms of the average test accuracy of cross-device
attack for the aligned traces captured using the ChipWhisperer
hardware.Finally, to extend the practicality of these cross-device attacks,
another pre-processing step, namely, Dynamic Time Warping (DTW) has been
utilized to remove any misalignment among the traces, before performing PCA.
DTW along with PCA followed by the 256-class MLP classifier provides >=10.97%
higher accuracy than the CNN based approach for cross-device attack even in the
presence of up to 50 time-sample misalignments between the traces.

17
The categories of this paper are: q-fin
34
The categories of this paper are: chem-ph
4
The categories of this paper are: cond-mat
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics
24
The categories of this paper are: dg-ga
14
The categories of this paper are: math-ph
16
The categories of this paper are: stat
13
The categories of this paper are: quant-ph
37
The categories of this paper are: supr-con
33
The categories of this paper are: plasm-ph
0
The categories of this paper are: hep-ph
9
The categories of this paper are: nlin
1
The categories of this paper are: cs
18
The categories of this paper are: econ