An Optimization for Differential Power Analysis Based on Time Series Verification

DOI

10.2991/wcnme-19.2019.38How to use a DOI?

Keywords

DPA; time series; AES algorithm; round transformation

Abstract

As an effective method of side-channel analysis, DPA (short for differential power analysis) uses statistical analysis to obtain the key by analyzing the correlation between power consumption data and encryption key. If the power consumption data collected from the target contains a large amount of interference noise, it will affect the result of DPA. Even if preprocessing methods are used to process the noise, the result of DPA still has error. This paper proposes a differential power analysis method based on time series verification for the AES algorithm in smart card devices, which extracts intermediate values from the four steps of the single round operation in the AES algorithm, and uses the power model for differential power analysis to obtain the corresponding key, and then respectively calculates the correlation coefficients of the other three steps under each key in the order of time series, and finally obtains the optimal solution key by comprehensive judgment. Experiments show that the result of this method is significantly better than traditional DPA.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yaxin Zhao
AU  - Yerong Tao
AU  - Song Zhang
AU  - Yinglong Liu
PY  - 2019/06
DA  - 2019/06
TI  - An Optimization for Differential Power Analysis Based on Time Series Verification
BT  - Proceedings of the 2019 International Conference on Wireless Communication, Network and Multimedia Engineering (WCNME 2019)
PB  - Atlantis Press
SP  - 160
EP  - 164
SN  - 2352-538X
UR  - https://doi.org/10.2991/wcnme-19.2019.38
DO  - 10.2991/wcnme-19.2019.38
ID  - Zhao2019/06
ER  -