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 |
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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 | |
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 |
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Conference
Conference | 29th Great Lakes Symposium on VLSI, GLSVLSI 2019 |
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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