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

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

3 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2020 IEEE International Symposium on Circuits and Systems, ISCAS 2020 - Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781728133201
Yayın durumu	Yayınlandı - 2020
Harici olarak yayınlandı	Evet
Etkinlik	52nd IEEE International Symposium on Circuits and Systems, ISCAS 2020 - Virtual, Online Süre: 10 Eki 2020 → 21 Eki 2020

Yayın serisi

Adı	Proceedings - IEEE International Symposium on Circuits and Systems
Hacim	2020-October
ISSN (Basılı)	0271-4310

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???event.eventtypes.event.conference???	52nd IEEE International Symposium on Circuits and Systems, ISCAS 2020
Şehir	Virtual, Online
Periyot	10/10/20 → 21/10/20

Bibliyografik not

Publisher Copyright:
© 2021 IEEE

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

@inproceedings{e3e4c294f6dd43ec89af8f2ab41dcd5f,

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",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE; 52nd IEEE International Symposium on Circuits and Systems, ISCAS 2020 ; Conference date: 10-10-2020 Through 21-10-2020",

year = "2020",

language = "English",

series = "Proceedings - IEEE International Symposium on Circuits and Systems",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2020 IEEE International Symposium on Circuits and Systems, ISCAS 2020 - Proceedings",

address = "United States",

}

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, hac. 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; Hac. 2020-October).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Revealing the secret parameters of an FPGA-based “True” random number generator

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.

KW - Auto-synchronization

KW - FPGA

KW - Random number generator

KW - Security weaknesses

UR - http://www.scopus.com/inward/record.url?scp=85099581108&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85099581108

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.

T2 - 52nd IEEE International Symposium on Circuits and Systems, ISCAS 2020

Y2 - 10 October 2020 through 21 October 2020

ER -

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

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Yayın serisi

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Bibliyografik not

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