NDLI: Improving cross-device attacks using zero-mean unit-variance normalization

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Improving cross-device attacks using zero-mean unit-variance normalization

Content Provider	Springer Nature Link
Author	Montminy, David P. Baldwin, Rusty O. Temple, Michael A. Laspe, Eric D.
Copyright Year	2012
Abstract	Template attacks are a very powerful form of side-channel analysis. It is assumed an adversary has access to a training device, identical to the device under attack, to build a precise multivariate characterization of the side-channel emissions. The training and test devices are assumed to have identical, or at least very similar, electromagnetic emissions. Often, when evaluating the effectiveness of a template attack, training and test data are from the same-device. The effectiveness of collecting training and test data from different devices, or cross-device attacks, are evaluated here using 40 PIC microcontroller devices. When the standard template attack methodology fails to produce adequate results, each step is evaluated to identify device-dependent variations. A simple pre-processing technique, normalizing the trace means and variances from the training and test devices, is evaluated for various test data set sizes. This step improves the success key-byte extraction rate for same part number cross-device template attacks from 65.1 to 100 % and improves attacks against similar devices in the same-device family. Additionally, it is demonstrated that due to differences in device leakage, minimizing the number of distinguishing features reduces the effectiveness of cross-device attacks.
Starting Page	99
Ending Page	110
Page Count	12
File Format	PDF
ISSN	21908508
Journal	Journal of Cryptographic Engineering
Volume Number	3
Issue Number	2
e-ISSN	21908516
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-09-29
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Template attack Cross-device Zero mean unit variance Normalization PCA Data Encryption Circuits and Systems Computer Communication Networks Communications Engineering, Networks Data Structures, Cryptology and Information Theory Operating Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Software

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