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Paper 2014/314

Improved Leakage Model Based on Genetic Algorithm

Zhenbin Zhang and Liji Wu and An Wang and Zhaoli Mu

Abstract

The classical leakage model usually exploits the power of one single S-box, which is called divide and conquer. Taking DES algorithm for example, the attack on each S-box needs to search the key space of 2^6 in a brute force way. Besides, 48-bit round key is limited to the result correctness of each single S-box. In this paper, we put forward a new leakage model based on the power consumption of multi S-box. The implementation of this method is combined with genetic algorithm. In DES algorithm, we can establish leakage model based on the Hamming distance of summing up 8 S-boxes. The genetic algorithm can search the key space of 2^48 to complete the attack of 8 S-boxes at the same time intelligently. And we also experimentally validate the fact that the leakage model of 8 S-boxes can decrease about 60% number of traces which is needed in the classical based on one single S-box in time domain and it also decreases about 33% number of traces in frequency domain. The IC card which is used in experiment is the training card 8 provided by Riscure Company.

Note: This paper uses Genetic Algorithm to solve the construction of new leakage model which applied in SCA on DES.This paper connect Side Channel Attack with Artificial Intelligence

Metadata
Available format(s)
PDF
Publication info
Preprint. MINOR revision.
Keywords
DESGenetic AlgorithmSide Channel Attack
Contact author(s)
zhangzb12 @ mails tsinghua edu cn
History
2014-05-06: revised
2014-05-04: received
See all versions
Short URL
https://ia.cr/2014/314
License
Creative Commons Attribution
CC BY
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