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Title:
Semi-Supervised Template Attack
Authors: Liran Lerman, Stephane Fernandes Medeiros, Nikita Veshchikov, Cedric Meuter, Gianluca Bontempi, Olivier Markowitch
Abstract:Side channel attacks take advantage of the information leakage in a cryptographic device. A template attack is a family of side channel attacks which is reputed to be extremely effective. This kind of attacks supposes that the attacker can fully control a cryptographic device before attacking a similar one. In this paper, we propose a method based on a semi-supervised learning strategy to relax this assumption. The effectiveness of our proposal is confirmed by software simulations as well as by experiments on a 8-bit microcontroller.
ePrint: https://eprint.iacr.org/2012/082
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