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Updated: Sep 30, 2025

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

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Multi-Unit Serial Polynomial Multiplier to Accelerate NTRU-Based Cryptographic Schemes in IoT Embedded Systems.

Santiago Sánchez-Solano¹, Eros Camacho-Ruiz¹, Macarena C Martínez-Rodríguez¹

¹Instituto de Microelectrónica de Sevilla, IMSE-CNM, CSIC/University of Seville, 41092 Seville, Spain.

Sensors (Basel, Switzerland)

|March 10, 2022

Summary

This summary is machine-generated.

Hardware accelerators for NTRU cryptography improve security in Internet of Things (IoT) embedded systems. These lattice-based cryptography solutions offer efficient, post-quantum secure implementations for resource-limited devices.

Keywords:

HW/SW codesign techniques IoT embedded systems hardware security postquantum cryptography programmable systems-on-chip public-key encryption scheme

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Area of Science:

Cryptography and Security Engineering
Embedded Systems Design
Post-Quantum Cryptography

Background:

Internet of Things (IoT) devices require robust security for data integrity, privacy, and authenticity.
Quantum computing advancements necessitate new cryptographic approaches for embedded systems.
Lattice-based cryptography offers efficient solutions for resource-constrained IoT environments.

Purpose of the Study:

To describe the hardware implementation of polynomial multipliers for NTRU cryptographic schemes.
To enhance the performance of time-consuming operations in embedded cryptographic applications.
To provide flexible and secure cryptographic primitives for evolving IoT security needs.

Main Methods:

Hardware implementation of parameterized multi-unit serial polynomial multipliers.
Integration of designs as AXI4 bus-compliant intellectual property modules.
Characterization and performance evaluation on Xilinx Zynq-7000 and Zynq UltraScale+ devices.

Main Results:

Achieved acceleration factors of up to 3.1 compared to software implementations.
Demonstrated plug-and-play inclusion as hardware accelerators in the LibNTRU library.
Provided extensive implementation and characterization results for NTRUEncrypt standard parameters.

Conclusions:

The developed hardware multipliers significantly speed up NTRU-based cryptography in embedded systems.
The flexible design allows adaptation to standardized and emerging post-quantum cryptographic proposals.
The solution offers a favorable cost/performance/security trade-off for IoT applications.