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010 a| 2021702069;

020 a| 9781000384062q| ebook;

020 z| 9780367754556q| (hardback);

035 a| (WaSeSS)ssj0002487975;

049 a| EREEa| NEHH;

050 00 a| TK7872.P47;

082 00 a| 005.8/22| 23;

100 1 a| Zolfaghari, Behrouz.?| UNAUTHORIZED;

245 10 a| Statistical trend analysis of physically unclonable functionsh| [electronic resource] :b| an approach via text mining /c| Behrouz Zolfaghari, Khodakhast Bibak, Takeshi Koshiba, Hamid R. Nemati, Pinaki Mitra.;

260 a| Boca Raton :b| CRC Press, Taylor and Francis Group,c| 2021.;

300 a| 1 online resource (xiiI, 148 pages);

504 a| Includes bibliographical references (pages 95-144) and index.;

506 a| Available only to authorized users.;

520 a| "Physically Unclonable Functions (PUFs) translate unavoidable variations in certain parameters of materials, waves, or devices into random and unique signals. They have found many applications in the Internet of Things (IoT), authentication systems, FPGA industry, several other areas in communications and related technologies, and many commercial products. Statistical Trend Analysis of Physically Unclonable Functions first presents a review on cryptographic hardware and hardware-assisted cryptography. The review highlights PUF as a mega trend in research on cryptographic hardware design. Afterwards, the authors present a combined survey and research work on PUFs using a systematic approach. As part of the survey aspect, a state-of-the-art analysis is presented as well as a taxonomy on PUFs, a life cycle, and an established ecosystem for the technology. In another part of the survey, the evolutionary history of PUFs is examined, and strategies for further research in this area are suggested"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

588 a| Description based on print version record and CIP data provided by publisher; resource not viewed.;

650 0 a| Physically unclonable functions (Electronics)x| Researchv| Case studies.?| UNAUTHORIZED;

650 0 a| Bibliometricsv| Case studies.=| ^A45150;

650 0 a| Bibliographical citationsx| Statisticsv| Case studies.=| ^A14986;

650 0 a| Data miningv| Case studies.=| ^A408868;

655 0 a| Electronic books.=| ^A491897;

776 08 i| Print version:t| Statistical trend analysis of physically unclonable functionsd| Boca Raton : CRC Press, Taylor & Francis Group, 2021.z| 9780367754556w| (DLC) 2020052969;

856 40 z| Full text available from Taylor & Francis eBooksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.taylorfrancis.com%2Fbooks%2F9781003167105;

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Statistical trend analysis of physically unclonable functions an approach via text mining / Behrouz Zolfaghari, Khodakhast Bibak, Takeshi Koshiba, Hamid R. Nemati, Pinaki Mitra.

Author/creator	Zolfaghari, Behrouz
Format	Electronic
Publication Info	Boca Raton : CRC Press, Taylor and Francis Group, 2021.
Description	1 online resource (xiiI, 148 pages)
Supplemental Content	Full text available from Taylor & Francis eBooks
Subjects	Physically unclonable functions (Electronics)--Research. --Case studies. Bibliometrics--Case studies. Bibliographical citations--Statistics. --Case studies. Data mining--Case studies.

Abstract	"Physically Unclonable Functions (PUFs) translate unavoidable variations in certain parameters of materials, waves, or devices into random and unique signals. They have found many applications in the Internet of Things (IoT), authentication systems, FPGA industry, several other areas in communications and related technologies, and many commercial products. Statistical Trend Analysis of Physically Unclonable Functions first presents a review on cryptographic hardware and hardware-assisted cryptography. The review highlights PUF as a mega trend in research on cryptographic hardware design. Afterwards, the authors present a combined survey and research work on PUFs using a systematic approach. As part of the survey aspect, a state-of-the-art analysis is presented as well as a taxonomy on PUFs, a life cycle, and an established ecosystem for the technology. In another part of the survey, the evolutionary history of PUFs is examined, and strategies for further research in this area are suggested"-- Provided by publisher.
Bibliography note	Includes bibliographical references (pages 95-144) and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Source of description	Description based on print version record and CIP data provided by publisher; resource not viewed.
Issued in other form	Print version: Statistical trend analysis of physically unclonable functions Boca Raton : CRC Press, Taylor & Francis Group, 2021. 9780367754556
Genre/form	Electronic books.
LCCN	2021702069
ISBN	9781000384062 ebook
ISBN	(hardback)

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Statistical trend analysis of physically unclonable functions an approach via text mining / Behrouz Zolfaghari, Khodakhast Bibak, Takeshi Koshiba, Hamid R. Nemati, Pinaki Mitra.

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