Power Efficiency in Unfolding RIPEMD-160 : Dynamic Power Analysis Using Gray Encoding in FPGA Design
The RIPEMD-160 hash functions are extensively used in many cryptographic applications, including digital signatures, Hash Message Authentication Codes (HMAC) and others. Unfolding RIPEMD-160 was designed to analyse the architecture of the design in terms of ALUTs area and design speed. This method w...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Proceeding |
| Language: | en |
| Published: |
IOP Publishing Ltd
2025
|
| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/48498/1/Suhaili_2025_J._Phys.__Conf._Ser._3020_012006.pdf http://ir.unimas.my/id/eprint/48498/ https://iopscience.iop.org/article/10.1088/1742-6596/3020/1/012006 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The RIPEMD-160 hash functions are extensively used in many cryptographic applications, including digital signatures, Hash Message Authentication Codes (HMAC) and others. Unfolding RIPEMD-160 was designed to analyse the architecture of the design in terms of ALUTs area and design speed. This method was also applied to RIPEMD-160
designs to analyse the internal structure concerning area, maximum frequency, and throughput. The implementation of design using the unfolding transformation approach
with a factor of four yields significant throughput performance. This project aims to enhance the power efficiency of the RIPEMD-160 hash function with an unfolding factor of 4 through the application of Gray encoding. The unfolding transformation factor of four approaches can increase RIPEMD-160's throughput to approximately 1753.50 Mbps. The performance-to-area ratio of RIPEMD-160, when unfolded with factor four designs, exhibits an increase of 1.51% relative to the iterative RIPEMD-160 design. The design was simulated to verify the accuracy of the RIPEMD-160 designs regarding functional and timing simulations. The dynamic power consumption of the RIPEMD-160 design using
Gray encoding was reduced by 64.6% compared to binary encoding and this is attributed to the lower switching activity associated with Gray encoding. |
|---|
