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Related Experiment Video

Updated: Jun 23, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

A scalable security co-processor design for IoT applications.

Mohamed Niazy1, Haytham Azmi1, Mervat M A Mahmoud2

  • 1Microelectronics Department, Electronics Research Institute, Jozeph Tito, New Nozha, Cairo, 11843, Egypt.

Scientific Reports
|June 21, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a new RISC-V cryptographic co-processor for enhanced Internet of Things (IoT) security. The design achieves high throughput for AES-128 and SHA-256 encryption with low power consumption.

Keywords:
Application-specific instruction-set processor (ASIP)Cipher-securityDirect memory access (DMA)EncryptionIoTRISC-V

Related Experiment Videos

Last Updated: Jun 23, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

  • Cybersecurity
  • Computer Architecture
  • Embedded Systems

Background:

  • Increasing cyber threats to Internet of Things (IoT) networks necessitate scalable and efficient security solutions.
  • Existing cryptographic solutions may lack the flexibility and performance required for diverse IoT applications.
  • The RISC-V architecture offers a flexible and open platform for custom hardware development.

Purpose of the Study:

  • To propose a novel, efficient, and flexible cryptographic co-processor architecture based on RISC-V for IoT applications.
  • To extend the RISC-V architecture to support standard cryptographic algorithms like AES-128 and SHA-256 without custom instruction set modifications.
  • To optimize data transfer and minimize pipeline delays for enhanced performance.

Main Methods:

  • Designed a RISC-V based cryptographic co-processor with a generic interface for cipher blocks and support for parallel operations.
  • Integrated Memory-Mapped I/O (MMIO) and Direct Memory Access (DMA) for efficient data handling.
  • Implemented and verified the design on a Xilinx ZCU-102 FPGA board using Vivado 2022.2.

Main Results:

  • Achieved high throughput rates: 8.2 Gbps for AES-128 and 482 Mbps for SHA-256 at a 64 MHz clock frequency.
  • Demonstrated efficient data transfer without processor pipeline delays.
  • Reported a low total power consumption of 1.575 watts.

Conclusions:

  • The proposed RISC-V cryptographic co-processor offers a significant improvement in throughput and energy efficiency for IoT security.
  • The design's flexibility and avoidance of custom instruction set extensions make it suitable for a wide range of IoT applications.
  • This work contributes to developing more secure and performant embedded systems for the evolving threat landscape.