Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM42109
Volume:
9 |
3 |
Mar 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The implementation of the Advanced Encryption Standard (AES) on RISC-V processors has gained attention for its potential in secure and efficient cryptographic operations. Researchers have explored hardware acceleration techniques, custom instruction set extensions, and vector-based optimizations to enhance performance. AES integration into RISC-V cores has demonstrated improvements in execution speed, energy efficiency, and memory footprint, making it suitable for IoT and embedded applications. Several studies propose hardware accelerators and co-processors that reduce encryption time while maintaining cryptographic security. Vector-based AES implementations fur- ther improve efficiency by leveraging parallel processing capa- bilities of modern RISC-V architectures. The introduction of custom AES instructions enables high-throughput encryption and decryption with minimal software overhead. FPGA-based AES accelerators have also been explored to enhance adaptability and flexibility in cryptographic applications. Experimental results in- dicate that RISC-V AES implementations outperform traditional software-based encryption in terms of speed and power con- sumption. The standardization of AES instruction set extensions in RISC-V continues to evolve, contributing to a more secure and efficient cryptographic ecosystem. This paper reviews recent advancements in AES integration with RISC-V, highlighting key performance metrics and optimization techniques.
KEYWORDS
Publication Date
6/2/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
3
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...