DocumentCode :
241304
Title :
Fuzzy analysis of side channel information
Author :
Saeedi, Ehsan ; Yinan Kong
Author_Institution :
Dept. of Electr. Eng., Macquarie Univ., Sydney, NSW, Australia
fYear :
2014
fDate :
15-17 Dec. 2014
Firstpage :
1
Lastpage :
5
Abstract :
Cryptographic algorithms implemented inside embedded systems have been designed to guarantee the security of data transition, but these electronic devices can be vulnerable to different class of attacks, mostly side channel attacks. Over the last decade, many attacks have been done successfully on different cryptographic algorithms, but these attacks mostly benefit from different ideal assumption and laboratory conditions. In this paper we propose a novel approach of side channel information analysis, based on fuzzy logic, that can efficiently conjecture the secret bits of a cryptosystem especially in realtime condition in which inputs are usually imprecise, noisy or missing. The validation and effictiveness of the proposed fuzzy approach is shown through a case study and accuracy comparison between electromagnetic, power and fuzzy analysis methods. Our experimental results confirmed that the fuzzy analysis produce comparable results, respectively better in the presence of noise.
Keywords :
cryptography; embedded systems; fuzzy logic; fuzzy set theory; cryptographic algorithms; data transition security; electromagnetic analysis methods; electronic devices; embedded systems; fuzzy analysis methods; fuzzy logic; power analysis methods; side channel attacks; side channel information analysis; Accuracy; Algorithm design and analysis; Cryptography; Electromagnetics; Fuzzy logic; Fuzzy systems; Noise measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communication Systems (ICSPCS), 2014 8th International Conference on
Conference_Location :
Gold Coast, QLD
Type :
conf
DOI :
10.1109/ICSPCS.2014.7021074
Filename :
7021074
Link To Document :
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