Sharing AES Engine for RISC-V Custom Instructions Performing Encryption and Decryption

In light of the critical role of cryptography in safeguarding data and the advantages of AES for hardware implementation, this paper presents a hardware implementation of the 128-bit Advanced Encryption Standard (AES) algorithm. We designed an AES unit that utilizes the same hardware for both encryption and decryption, which we integrated into a RISC-V-based processor, by developing four custom instructions to facilitate this integration. Our methodology leverages the inherent parallelism of the AES algorithm to optimize speed, enhance security features, and ensure low power consumption along with efficient resource utilization. A comprehensive performance analysis showed a nearly 19x speedup compared to a software implementation, demonstrating significant performance and efficiency benefits.

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Publication Details

Published
2024-11-13
DOI
https://doi.org/10.1109/ewdts63723.2024.10873766
Primary Topic
Cryptographic Implementations and Security
Type
article
Field-Weighted Citation Impact
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article

Sharing AES Engine for RISC-V Custom Instructions Performing Encryption and Decryption

Zainalabedin Navabi, Zahra Jahanpeima, Maryam Rajabalipanah, Zahra Hojati et al.
Cryptographic Implementations and Security
article

Sharing AES Engine for RISC-V Custom Instructions Performing Encryption and Decryption

Zainalabedin Navabi, Zahra Jahanpeima, Maryam Rajabalipanah, Zahra Hojati, Amir Masoud Rabiei, Hossein Ta'ati
article en

Abstract

In light of the critical role of cryptography in safeguarding data and the advantages of AES for hardware implementation, this paper presents a hardware implementation of the 128-bit Advanced Encryption Standard (AES) algorithm. We designed an AES unit that utilizes the same hardware for both encryption and decryption, which we integrated into a RISC-V-based processor, by developing four custom instructions to facilitate this integration. Our methodology leverages the inherent parallelism of the AES algorithm to optimize speed, enhance security features, and ensure low power consumption along with efficient resource utilization. A comprehensive performance analysis showed a nearly 19x speedup compared to a software implementation, demonstrating significant performance and efficiency benefits.

University of Tehran (IR)
Openalex Percentile: Top 75%
Cryptographic Implementations and Security
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