Ultra-Low Power Crypto-Engine Based on Simon 32/64 for Energy- and Area-Constrained Integrated Systems

11/02/2018
by   Sachin Taneja, et al.
0

This paper proposes an ultra-low power crypto-engine achieving sub-pJ/bit energy and sub-1Kμ m^2in 40nm CMOS, based on the Simon cryptographic algorithm. Energy and area efficiency are pursued via microarchitectural exploration, ultra-low voltage operation with high resiliency via latch-based pipelines, and power reduction techniques via multi-bit sequential elements. Overall, the comparison with the state of the art shows best-in-class energy efficiency and area. This makes it well suited for ubiquitous security in tightly-constrained platforms, e.g. RFIDs, low-end sensor nodes.

READ FULL TEXT
research
11/21/2017

Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?

Design automation in general, and in particular logic synthesis, can pla...
research
12/29/2020

Sensifi: A Wireless Sensing System for Ultra-High-Rate Applications

Wireless Sensor Networks (WSNs) are being used in various applications s...
research
10/18/2017

Design Considerations of a Sub-50 μW Receiver Front-end for Implantable Devices in MedRadio Band

Emerging health-monitor applications, such as information transmission t...
research
02/25/2023

Efficient Multitask Learning on Resource-Constrained Systems

We present Antler, which exploits the affinity between all pairs of task...
research
03/11/2019

An Energy-Efficient Reconfigurable DTLS Cryptographic Engine for End-to-End Security in IoT Applications

This paper presents a reconfigurable cryptographic engine that implement...
research
03/11/2020

SWIFT: Scalable Ultra-Wideband Sub-Nanosecond Wavelength Switching for Data Centre Networks

We propose a time-multiplexed DS-DBR/SOA-gated system to deliver low-pow...
research
07/17/2020

Always-On 674uW @ 4GOP/s Error Resilient Binary Neural Networks with Aggressive SRAM Voltage Scaling on a 22nm IoT End-Node

Binary Neural Networks (BNNs) have been shown to be robust to random bit...

Please sign up or login with your details

Forgot password? Click here to reset