@inproceedings{44224151a49c464ea982b5480b63c4aa,
title = "Multi-class SVMs analysis of side-channel information of elliptic curve cryptosystem",
abstract = "Cryptosystems, even after recent algorithmic improvements, can be vulnerable to side-channel attacks (SCA) In this paper, we investigate one of the powerful class of SCAs based on machine learning techniques in the forms of Principal Component Analysis (PCA) and multi-class classification. For this purpose, a support vector machine (SVM) is investigated as a robust and efficient multi-class classifier along with a propel kernel function and its appropriate parameters. Our experiment performed on data leakage of a FPGA implementation of elliptio curve cryptography (ECC), and the results, validated by cross validation approach, compare the efficiency of different kernel functions and the influence of function parameters.",
author = "Ehsan Saeedi and Hossain, {Md Selim} and Yinan Kong",
year = "2015",
doi = "10.1109/SPECTS.2015.7285297",
language = "English",
isbn = "9781467373517",
series = "Simulation Series",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
number = "9",
pages = "1--6",
editor = "Obaidat, {Mohammad S.} and Franco Davoli and Marzo, {Jose L} and Joel Rodrigues and Malamati Louta and Imadeldin Mahgoub and Jose Saldana",
booktitle = "2015 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS)",
address = "United States",
note = "2015 International Symposium on Performance Evaluation of Computer and Telecommunication Systems, SPECTS 2015 ; Conference date: 26-07-2015 Through 29-07-2015",
}