SIDE-CHANNEL INFORMATION LEAK DETECTION WITH WAVELET TRANSFORMATION
Subject of study. The paper presents the results of the experimental study of a wavelet-based pre-processing that was used to increase the amount of statistically-discoverable information leakage in a side-channel signal. The studied signal was acquired via an electromagnetic channel of the ARM-Cor...
Main Authors: | Daria M. Sleptsova, Alla B. Levina |
---|---|
Format: | Article |
Language: | English |
Published: |
Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University)
2019-12-01
|
Series: | Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki |
Subjects: | |
Online Access: | https://ntv.ifmo.ru/file/article/19170.pdf |
Similar Items
-
Understanding Screaming Channels: From a Detailed Analysis to Improved Attacks
by: Giovanni Camurati, et al.
Published: (2020-06-01) -
Side-channel attacks and machine learning approach
by: Alia Levina, et al.
Published: (2016-04-01) -
Autoscaled-Wavelet Convolutional Layer for Deep Learning-Based Side-Channel Analysis
by: Daehyeon Bae, et al.
Published: (2023-01-01) -
A Survey of Side-Channel Leakage Assessment
by: Yaru Wang, et al.
Published: (2023-08-01) -
Challenging Assumptions of Normality in AES s-Box Configurations under Side-Channel Analysis
by: Clay Carper, et al.
Published: (2023-11-01)