NDLI: Chosen message strategy to improve the correlation power analysis

Content Provider	IET Digital Library
Author	Ouladj, Maamar Guillot, Phillipe Mokrane, Farid
Abstract	Nowadays cryptographic circuits are subject to attacks that no longer focus on the algorithm but on its physical implementation. Attacks exploiting information leaked by the hardware implementation are called side-channel attacks (SCA). In particular, the popular correlation power analysis (CPA) is known by its effectiveness. This paper presents a new method for an original optimisation of the CPA to recover secret keys with less power consumption traces than what is expected from the standard CPA. This improvement is done by choosing appropriate plaintexts, both non-adaptively and adaptively. A mathematical proof of the proposed procedure is provided for any cryptographic device with any known leakage model. The proposed technique is tested on the advanced encryption system (AES) S-box input (resp. output) implemented in an ATMega 163 smartcard, with hamming weight leakage model.
Starting Page	304
Ending Page	310
Page Count	7
ISSN	17518709
Volume Number	13
e-ISSN	17518717
Issue Number	Issue 4, Jul (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ifs/13/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ifs.2018.5103
Journal	IET Information Security
Publisher Date	2019-02-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Advanced Encryption System S-box Input Appropriate Plaintexts ATMega 163 Smartcard Chosen Message Strategy Correlation Power Analysis CPA Cryptographic Circuit Cryptographic Device Cryptography Data Security Hamming Weight Leakage Model Hardware Implementation Optimisation Optimisation Technique Original Optimisation Physical Implementation Power Consumption Power Consumption Traces Secret Keys Side-channel Attack
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Software

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