Micro - GAGE: A Low-power Compact GAGE Hash Function Processor for IoT Applications

Mohamed El-Hadedy, Martin Margala, Sergiu Mosanu, Danilo Gligoroski, Jinjun Xiong, Wen Mei Hwu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The emergence of Internet of Things (IoT) applications presents a wide range of opportunities in areas such as automotive, consumer, energy, smart city and many others. Since many of these systems operate in environments with heightened sensitivity and privacy, they require trusted level of security. In addition, the implemented security measures must fit within strict power and area budgets, yet deliver maximum performance mandated by the application. In this paper, we propose and evaluate the area, power and performance of a novel compact low-power GAGE hash function processor (MICRO-GAGE). The results show Micro- Gageis 28× more power-efficient than the reported implementation of GAGE hash function on AVR ATMEGA 328p micro-controller. Micro- Gageneeds approximately 2.6 times less power than several comparable LWC designs. In addition, the proposed processor performs approximately 2.6 times longer than the other LWC designs when powered by typical Ni-Cd battery.

Original languageEnglish (US)
Title of host publicationICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728160443
DOIs
StatePublished - Nov 23 2020
Event27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020 - Glasgow, United Kingdom
Duration: Nov 23 2020Nov 25 2020

Publication series

NameICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings

Conference

Conference27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020
CountryUnited Kingdom
CityGlasgow
Period11/23/2011/25/20

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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