Side channel analysis of an elliptic curve crypto-system based on multi-class classification

Ehsan Saeedi; Md Selim Hossain; Yinan Kong

doi:10.1109/ICCCNT.2015.7395195

Side channel analysis of an elliptic curve crypto-system based on multi-class classification

Ehsan Saeedi, Md Selim Hossain, Yinan Kong

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

1 Citation (Scopus)

Abstract

Cryptosystems, even after recent algorithmic improvements, can be vulnerable to side channel attacks (SCA). In this paper, we investigated one of the powerful class of SCA based on machine learning techniques in the forms of Principal Component Analysis (PCA) and multi-class classification. For this purpose, support vector machine (SVM) is investigated as a robust and efficient multi-class classifier along with a proper kernel function and its appropriate parameters. Our experiment performed on data leakage of FPGA implementation of elliptic curve cryptography (ECC), and the results, validated by cross validation approach, compare the efficiency of different kernel functions and the influence of function parameters.

Original language	English
Title of host publication	6th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2015
Place of Publication	Piscataway, USA
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	7
ISBN (Electronic)	9781479979844
DOIs	https://doi.org/10.1109/ICCCNT.2015.7395195
Publication status	Published - 2015
Event	6th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2015 - Denton, United States Duration: 13 Jul 2015 → 15 Jul 2015

Other

Other	6th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2015
Country/Territory	United States
City	Denton
Period	13/07/15 → 15/07/15

Access to Document

10.1109/ICCCNT.2015.7395195

Cite this

@inproceedings{c26541d7ef794f72bc4d38152dc99317,

title = "Side channel analysis of an elliptic curve crypto-system based on multi-class classification",

abstract = "Cryptosystems, even after recent algorithmic improvements, can be vulnerable to side channel attacks (SCA). In this paper, we investigated one of the powerful class of SCA based on machine learning techniques in the forms of Principal Component Analysis (PCA) and multi-class classification. For this purpose, support vector machine (SVM) is investigated as a robust and efficient multi-class classifier along with a proper kernel function and its appropriate parameters. Our experiment performed on data leakage of FPGA implementation of elliptic 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/ICCCNT.2015.7395195",

language = "English",

booktitle = "6th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2015",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "6th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2015 ; Conference date: 13-07-2015 Through 15-07-2015",

}

Saeedi, E, Hossain, MS & Kong, Y 2015, Side channel analysis of an elliptic curve crypto-system based on multi-class classification. in 6th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2015., 7395195, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, USA, 6th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2015, Denton, United States, 13/07/15. https://doi.org/10.1109/ICCCNT.2015.7395195

Side channel analysis of an elliptic curve crypto-system based on multi-class classification. / Saeedi, Ehsan; Hossain, Md Selim; Kong, Yinan.
6th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2015. Piscataway, USA: Institute of Electrical and Electronics Engineers (IEEE), 2015. 7395195.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Side channel analysis of an elliptic curve crypto-system based on multi-class classification

AU - Saeedi, Ehsan

AU - Hossain, Md Selim

AU - Kong, Yinan

PY - 2015

Y1 - 2015

N2 - Cryptosystems, even after recent algorithmic improvements, can be vulnerable to side channel attacks (SCA). In this paper, we investigated one of the powerful class of SCA based on machine learning techniques in the forms of Principal Component Analysis (PCA) and multi-class classification. For this purpose, support vector machine (SVM) is investigated as a robust and efficient multi-class classifier along with a proper kernel function and its appropriate parameters. Our experiment performed on data leakage of FPGA implementation of elliptic curve cryptography (ECC), and the results, validated by cross validation approach, compare the efficiency of different kernel functions and the influence of function parameters.

AB - Cryptosystems, even after recent algorithmic improvements, can be vulnerable to side channel attacks (SCA). In this paper, we investigated one of the powerful class of SCA based on machine learning techniques in the forms of Principal Component Analysis (PCA) and multi-class classification. For this purpose, support vector machine (SVM) is investigated as a robust and efficient multi-class classifier along with a proper kernel function and its appropriate parameters. Our experiment performed on data leakage of FPGA implementation of elliptic curve cryptography (ECC), and the results, validated by cross validation approach, compare the efficiency of different kernel functions and the influence of function parameters.

UR - http://www.scopus.com/inward/record.url?scp=84964503285&partnerID=8YFLogxK

U2 - 10.1109/ICCCNT.2015.7395195

DO - 10.1109/ICCCNT.2015.7395195

M3 - Conference proceeding contribution

AN - SCOPUS:84964503285

BT - 6th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2015

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, USA

T2 - 6th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2015

Y2 - 13 July 2015 through 15 July 2015

ER -

Side channel analysis of an elliptic curve crypto-system based on multi-class classification

Abstract

Other

Access to Document

Other files and links

Fingerprint

Cite this