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

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

1 Scopus citations

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.

Original language	English
Title of host publication	GLSVLSI 2019 - Proceedings of the 2019 Great Lakes Symposium on VLSI
Pages	525-530
Number of pages	6
ISBN (Electronic)	9781450362528
DOIs	https://doi.org/10.1145/3299874.3319337
State	Published - May 13 2019
Event	29th Great Lakes Symposium on VLSI, GLSVLSI 2019 - Tysons Corner, United States Duration: May 9 2019 → May 11 2019

Publication series

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

Conference

Conference	29th Great Lakes Symposium on VLSI, GLSVLSI 2019
Country/Territory	United States
City	Tysons Corner
Period	5/9/19 → 5/11/19

Bibliographical note

Publisher Copyright:
© 2019 Owner/Author.

Keywords

Dpa attack
Hardware security
Hardware trojan
Low-power
Physically unclonable functions

ASJC Scopus subject areas

General Engineering

Access to Document

10.1145/3299874.3319337

Cite this

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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.",

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Thapliyal, H & Kahleifeh, Z 2019, Solving energy and cybersecurity constraints in IoT devices using energy recovery computing. in 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

Solving energy and cybersecurity constraints in IoT devices using energy recovery computing. / Thapliyal, Himanshu; Kahleifeh, Zachary.
GLSVLSI 2019 - Proceedings of the 2019 Great Lakes Symposium on VLSI. 2019. p. 525-530 3319337 (Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI).

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

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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