Paper 2025/1250
The Weighted Sum Correlation Analysis
Abstract
This paper introduces the weighted sum correlation analysis method, a profiled higher-order side-channel attack that quantifies the significance of time-domain samples based on a chosen leakage model. We also demonstrate the utility of the Hilbert transform in side-channel analysis, showing how its phase-shifting property can be exploited to construct an effective fused score that combines multiple correlation coefficients into a single metric. We validate the presented method on the challenging case of the AES-CCM accelerator in a commercial Bluetooth chip, leveraging RF signals captured via a software-defined radio as a side channel. Compared to the correlation analysis methods presented at RWC'25 and CHES'25, the weighted sum approach achieves at least a threefold reduction in the number of traces required for key recovery. Remarkably, it also outperforms deep learning-based analysis.
Metadata
- Available format(s)
-
PDF
- Category
- Attacks and cryptanalysis
- Publication info
- Preprint.
- Keywords
- Side-channel attackcorrelation analysisdeep learning analysisAESCCM
- Contact author(s)
-
dubrova @ kth se
jendral @ kth se
yanning @ kth se
ruize @ kth se - History
- 2025-07-11: approved
- 2025-07-07: received
- See all versions
- Short URL
- https://ia.cr/2025/1250
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2025/1250,
author = {Elena Dubrova and Sönke Jendral and Yanning Ji and Ruize Wang},
title = {The Weighted Sum Correlation Analysis},
howpublished = {Cryptology {ePrint} Archive, Paper 2025/1250},
year = {2025},
url = {https://eprint.iacr.org/2025/1250}
}
