Solving energy and cybersecurity constraints in IoT devices using energy recovery computing

Himanshu Thapliyal; Zachary Kahleifeh

doi:10.1145/3299874.3319337

Solving energy and cybersecurity constraints in IoT devices using energy recovery computing

Himanshu Thapliyal, Zachary Kahleifeh

Electrical and Computer Engineering

Producción científica: Conference contribution › revisión exhaustiva

1 Cita (Scopus)

Resumen

With the growth of Internet-of-Things (IoT), the potential threat vectors for malicious cyber and hardware attacks are rapidly expanding. As the IoT paradigm emerges, there are challenging requirements to design energy-efficient and secure systems. To address these challenges, we illustrate energy recovery computing as a potential solution to design low-energy hardware security primitives for IoT devices. Energy Recovery (ER) is a circuit design technique in which circuits recycle the charge stored in the load capacitor. This overview provides example applications of ER computing in (i) low-energy and Differential Power Analysis (DPA) resistant design, (ii) low-energy Physically Unclonable Function (PUF), and (iii) hardware trojan detection.

Idioma original	English
Título de la publicación alojada	GLSVLSI 2019 - Proceedings of the 2019 Great Lakes Symposium on VLSI
Páginas	525-530
Número de páginas	6
ISBN (versión digital)	9781450362528
DOI	https://doi.org/10.1145/3299874.3319337
Estado	Published - may 13 2019
Evento	29th Great Lakes Symposium on VLSI, GLSVLSI 2019 - Tysons Corner, United States Duración: may 9 2019 → may 11 2019

Serie de la publicación

Nombre	Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI

Conference

Conference	29th Great Lakes Symposium on VLSI, GLSVLSI 2019
País/Territorio	United States
Ciudad	Tysons Corner
Período	5/9/19 → 5/11/19

Nota bibliográfica

Publisher Copyright:
© 2019 Owner/Author.

ASJC Scopus subject areas

General Engineering

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10.1145/3299874.3319337

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title = "Solving energy and cybersecurity constraints in IoT devices using energy recovery computing",

abstract = "With the growth of Internet-of-Things (IoT), the potential threat vectors for malicious cyber and hardware attacks are rapidly expanding. As the IoT paradigm emerges, there are challenging requirements to design energy-efficient and secure systems. To address these challenges, we illustrate energy recovery computing as a potential solution to design low-energy hardware security primitives for IoT devices. Energy Recovery (ER) is a circuit design technique in which circuits recycle the charge stored in the load capacitor. This overview provides example applications of ER computing in (i) low-energy and Differential Power Analysis (DPA) resistant design, (ii) low-energy Physically Unclonable Function (PUF), and (iii) hardware trojan detection.",

keywords = "Dpa attack, Hardware security, Hardware trojan, Low-power, Physically unclonable functions",

author = "Himanshu Thapliyal and Zachary Kahleifeh",

note = "Publisher Copyright: {\textcopyright} 2019 Owner/Author.; 29th Great Lakes Symposium on VLSI, GLSVLSI 2019 ; Conference date: 09-05-2019 Through 11-05-2019",

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Thapliyal, H & Kahleifeh, Z 2019, Solving energy and cybersecurity constraints in IoT devices using energy recovery computing. En GLSVLSI 2019 - Proceedings of the 2019 Great Lakes Symposium on VLSI., 3319337, Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI, pp. 525-530, 29th Great Lakes Symposium on VLSI, GLSVLSI 2019, Tysons Corner, United States, 5/9/19. https://doi.org/10.1145/3299874.3319337

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T1 - Solving energy and cybersecurity constraints in IoT devices using energy recovery computing

AU - Thapliyal, Himanshu

AU - Kahleifeh, Zachary

PY - 2019/5/13

Y1 - 2019/5/13

N2 - With the growth of Internet-of-Things (IoT), the potential threat vectors for malicious cyber and hardware attacks are rapidly expanding. As the IoT paradigm emerges, there are challenging requirements to design energy-efficient and secure systems. To address these challenges, we illustrate energy recovery computing as a potential solution to design low-energy hardware security primitives for IoT devices. Energy Recovery (ER) is a circuit design technique in which circuits recycle the charge stored in the load capacitor. This overview provides example applications of ER computing in (i) low-energy and Differential Power Analysis (DPA) resistant design, (ii) low-energy Physically Unclonable Function (PUF), and (iii) hardware trojan detection.

AB - With the growth of Internet-of-Things (IoT), the potential threat vectors for malicious cyber and hardware attacks are rapidly expanding. As the IoT paradigm emerges, there are challenging requirements to design energy-efficient and secure systems. To address these challenges, we illustrate energy recovery computing as a potential solution to design low-energy hardware security primitives for IoT devices. Energy Recovery (ER) is a circuit design technique in which circuits recycle the charge stored in the load capacitor. This overview provides example applications of ER computing in (i) low-energy and Differential Power Analysis (DPA) resistant design, (ii) low-energy Physically Unclonable Function (PUF), and (iii) hardware trojan detection.

KW - Dpa attack

KW - Hardware security

KW - Hardware trojan

KW - Low-power

KW - Physically unclonable functions

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M3 - Conference contribution

AN - SCOPUS:85083227685

T3 - Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI

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BT - GLSVLSI 2019 - Proceedings of the 2019 Great Lakes Symposium on VLSI

T2 - 29th Great Lakes Symposium on VLSI, GLSVLSI 2019

Y2 - 9 May 2019 through 11 May 2019

ER -

Solving energy and cybersecurity constraints in IoT devices using energy recovery computing

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