Implementation of ECC-based trusted platform module

Xing Zhang; Ming Zhou; Jun Xi Zhuang; Jian Li

doi:10.1109/ICMLC.2007.4370504

Implementation of ECC-based trusted platform module

Xing Zhang^*, Ming Zhou, Jun Xi Zhuang, Jian Li

^*Corresponding author for this work

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

5 Citations (Scopus)

Abstract

This paper analyzes the cryptography scheme of the Trust Platform Model(TPM). The focus of the discussion would be the comparison of elliptic curve cryptography and the nowadays widely used 2048-bit RSA in evaluating which would be better suited to be used on TPM. A TPM implementation scheme based on ECC is proposed, which includes encryption and decryption schemes, signature and verification scheme, key agreement scheme. Corresponding examples of TPM commands would also be given.

Original language	English
Title of host publication	Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007
Pages	2168-2173
Number of pages	6
DOIs	https://doi.org/10.1109/ICMLC.2007.4370504
Publication status	Published - 2007
Externally published	Yes
Event	6th International Conference on Machine Learning and Cybernetics, ICMLC 2007 - Hong Kong, China Duration: 19 Aug 2007 → 22 Aug 2007

Publication series

Name	Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007
Volume	4

Conference

Conference	6th International Conference on Machine Learning and Cybernetics, ICMLC 2007
Country/Territory	China
City	Hong Kong
Period	19/08/07 → 22/08/07

Keywords

Elliptic curve cryptosystem
RSA
TPM command
TPM-emulator
Trust platform model

Access to Document

10.1109/ICMLC.2007.4370504

Cite this

Zhang, X., Zhou, M., Zhuang, J. X., & Li, J. (2007). Implementation of ECC-based trusted platform module. In Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007 (pp. 2168-2173). Article 4370504 (Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007; Vol. 4). https://doi.org/10.1109/ICMLC.2007.4370504

@inproceedings{e786d3a5a1d0487dadf04be0d61f45f5,

title = "Implementation of ECC-based trusted platform module",

abstract = "This paper analyzes the cryptography scheme of the Trust Platform Model(TPM). The focus of the discussion would be the comparison of elliptic curve cryptography and the nowadays widely used 2048-bit RSA in evaluating which would be better suited to be used on TPM. A TPM implementation scheme based on ECC is proposed, which includes encryption and decryption schemes, signature and verification scheme, key agreement scheme. Corresponding examples of TPM commands would also be given.",

keywords = "Elliptic curve cryptosystem, RSA, TPM command, TPM-emulator, Trust platform model",

author = "Xing Zhang and Ming Zhou and Zhuang, {Jun Xi} and Jian Li",

year = "2007",

doi = "10.1109/ICMLC.2007.4370504",

language = "English",

isbn = "142440973X",

series = "Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007",

pages = "2168--2173",

booktitle = "Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007",

note = "6th International Conference on Machine Learning and Cybernetics, ICMLC 2007 ; Conference date: 19-08-2007 Through 22-08-2007",

}

Zhang, X, Zhou, M, Zhuang, JX & Li, J 2007, Implementation of ECC-based trusted platform module. in Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007., 4370504, Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007, vol. 4, pp. 2168-2173, 6th International Conference on Machine Learning and Cybernetics, ICMLC 2007, Hong Kong, China, 19/08/07. https://doi.org/10.1109/ICMLC.2007.4370504

Implementation of ECC-based trusted platform module. / Zhang, Xing; Zhou, Ming; Zhuang, Jun Xi et al.
Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007. 2007. p. 2168-2173 4370504 (Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007; Vol. 4).

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

TY - GEN

T1 - Implementation of ECC-based trusted platform module

AU - Zhang, Xing

AU - Zhou, Ming

AU - Zhuang, Jun Xi

AU - Li, Jian

PY - 2007

Y1 - 2007

N2 - This paper analyzes the cryptography scheme of the Trust Platform Model(TPM). The focus of the discussion would be the comparison of elliptic curve cryptography and the nowadays widely used 2048-bit RSA in evaluating which would be better suited to be used on TPM. A TPM implementation scheme based on ECC is proposed, which includes encryption and decryption schemes, signature and verification scheme, key agreement scheme. Corresponding examples of TPM commands would also be given.

AB - This paper analyzes the cryptography scheme of the Trust Platform Model(TPM). The focus of the discussion would be the comparison of elliptic curve cryptography and the nowadays widely used 2048-bit RSA in evaluating which would be better suited to be used on TPM. A TPM implementation scheme based on ECC is proposed, which includes encryption and decryption schemes, signature and verification scheme, key agreement scheme. Corresponding examples of TPM commands would also be given.

KW - Elliptic curve cryptosystem

KW - RSA

KW - TPM command

KW - TPM-emulator

KW - Trust platform model

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DO - 10.1109/ICMLC.2007.4370504

M3 - Conference contribution

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SN - 142440973X

SN - 9781424409730

T3 - Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007

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BT - Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007

T2 - 6th International Conference on Machine Learning and Cybernetics, ICMLC 2007

Y2 - 19 August 2007 through 22 August 2007

ER -

Implementation of ECC-based trusted platform module

Abstract

Publication series

Conference

Keywords

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