Revealing the secret parameters of an FPGA-based “True” random number generator

Salih Ergün; Burak Acar

Revealing the secret parameters of an FPGA-based “True” random number generator

Salih Ergün, Burak Acar

Scientific and Technological Research Council of Turkey

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

3 Citations (Scopus)

Abstract

A new response system is suggested to show the security vulnerabilities of an FPGA-based chaotic "true" random number generator (RNG). The auto-synchronization method is used to justify the success of the response system. The hidden parameter of the chaotic RNG is revealed when the design of the RNG is open to everyone and a limited scalar time series can be monitored from the chaotic RNG. Experimental results prove the applicability of the response system in a way of estimating next bit while the same bit stream of the RNG can be reproduced.

Original language	English
Title of host publication	2020 IEEE International Symposium on Circuits and Systems, ISCAS 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728133201
Publication status	Published - 2020
Externally published	Yes
Event	52nd IEEE International Symposium on Circuits and Systems, ISCAS 2020 - Virtual, Online Duration: 10 Oct 2020 → 21 Oct 2020

Publication series

Name	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	2020-October
ISSN (Print)	0271-4310

Conference

Conference	52nd IEEE International Symposium on Circuits and Systems, ISCAS 2020
City	Virtual, Online
Period	10/10/20 → 21/10/20

Bibliographical note

Publisher Copyright:
© 2021 IEEE

Keywords

Auto-synchronization
FPGA
Random number generator
Security weaknesses

Cite this

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title = "Revealing the secret parameters of an FPGA-based “True” random number generator",

abstract = "A new response system is suggested to show the security vulnerabilities of an FPGA-based chaotic {"}true{"} random number generator (RNG). The auto-synchronization method is used to justify the success of the response system. The hidden parameter of the chaotic RNG is revealed when the design of the RNG is open to everyone and a limited scalar time series can be monitored from the chaotic RNG. Experimental results prove the applicability of the response system in a way of estimating next bit while the same bit stream of the RNG can be reproduced.",

keywords = "Auto-synchronization, FPGA, Random number generator, Security weaknesses",

author = "Salih Erg{\"u}n and Burak Acar",

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year = "2020",

language = "English",

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Ergün, S & Acar, B 2020, Revealing the secret parameters of an FPGA-based “True” random number generator. in 2020 IEEE International Symposium on Circuits and Systems, ISCAS 2020 - Proceedings., 9181280, Proceedings - IEEE International Symposium on Circuits and Systems, vol. 2020-October, Institute of Electrical and Electronics Engineers Inc., 52nd IEEE International Symposium on Circuits and Systems, ISCAS 2020, Virtual, Online, 10/10/20.

Revealing the secret parameters of an FPGA-based “True” random number generator. / Ergün, Salih; Acar, Burak.
2020 IEEE International Symposium on Circuits and Systems, ISCAS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9181280 (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 2020-October).

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

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AU - Ergün, Salih

AU - Acar, Burak

PY - 2020

Y1 - 2020

N2 - A new response system is suggested to show the security vulnerabilities of an FPGA-based chaotic "true" random number generator (RNG). The auto-synchronization method is used to justify the success of the response system. The hidden parameter of the chaotic RNG is revealed when the design of the RNG is open to everyone and a limited scalar time series can be monitored from the chaotic RNG. Experimental results prove the applicability of the response system in a way of estimating next bit while the same bit stream of the RNG can be reproduced.

AB - A new response system is suggested to show the security vulnerabilities of an FPGA-based chaotic "true" random number generator (RNG). The auto-synchronization method is used to justify the success of the response system. The hidden parameter of the chaotic RNG is revealed when the design of the RNG is open to everyone and a limited scalar time series can be monitored from the chaotic RNG. Experimental results prove the applicability of the response system in a way of estimating next bit while the same bit stream of the RNG can be reproduced.

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KW - FPGA

KW - Random number generator

KW - Security weaknesses

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T3 - Proceedings - IEEE International Symposium on Circuits and Systems

BT - 2020 IEEE International Symposium on Circuits and Systems, ISCAS 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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Revealing the secret parameters of an FPGA-based “True” random number generator

Abstract

Publication series

Conference

Bibliographical note

Keywords

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Cite this