An FPGA-Optimized Parallel Processor Architecture for Huff Curves with Reduced Clock Cycles

Elliptic Curve Cryptography (ECC) is extensively used for secure communications due to its strong security properties and efficiency at smaller key sizes compared to other cryptosystems. Within ECC, Binary Huff Curves (BHC) present an advantageous choice, especially in binary fields like GF(2<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">233</sup>) as recommended by National Institute of Standards and Technology (NIST), due to their compact representation and unified computational framework. This unified structure enables consistent power consumption profiles during both point addition and doubling, enhancing security against side-channel attacks such as power analysis. In this paper, we propose an optimized FPGA-based architecture for accelerating point multiplication on BHC, leveraging architectural innovations to achieve significant improvements in both security and efficiency. Our approach emphasizes parallelism, employing the Non-Adjacent Form (NAF) for scalar multiplication rather than the traditional Double-and-Add method, and integrates parallelized hybrid Karatsuba multipliers along side the Hex Itoh-Tsujii algorithm for optimized field arithmetic. By focusing on a unified addition pattern, we achieve a latency of 29.5 ns on a Virtex-4 FPGA and 23.1 ns on a Virtex-7 , marking a reduction in clock cycles of up to 59.6% on Virtex-4 and 42.3% on Virtex-7 over previous designs. These optimizations establish a new benchmark for secure and efficient cryptographic processing on reconfigurable hardware.

Authors

Publication Details

Published
2025-03-06
DOI
https://doi.org/10.1109/iatmsi64286.2025.10984778
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An FPGA-Optimized Parallel Processor Architecture for Huff Curves with Reduced Clock Cycles

J. Vidhya, V. R. Venkatasubramani, M.S.K. Manikandan, V. Vinoth Thyagarajan et al.
1 links
Parallel Computing and Optimization Techniques
article

An FPGA-Optimized Parallel Processor Architecture for Huff Curves with Reduced Clock Cycles

J. Vidhya, V. R. Venkatasubramani, M.S.K. Manikandan, V. Vinoth Thyagarajan, S. Rajaram
article en

Abstract

Elliptic Curve Cryptography (ECC) is extensively used for secure communications due to its strong security properties and efficiency at smaller key sizes compared to other cryptosystems. Within ECC, Binary Huff Curves (BHC) present an advantageous choice, especially in binary fields like GF(2<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">233</sup>) as recommended by National Institute of Standards and Technology (NIST), due to their compact representation and unified computational framework. This unified structure enables consistent power consumption profiles during both point addition and doubling, enhancing security against side-channel attacks such as power analysis. In this paper, we propose an optimized FPGA-based architecture for accelerating point multiplication on BHC, leveraging architectural innovations to achieve significant improvements in both security and efficiency. Our approach emphasizes parallelism, employing the Non-Adjacent Form (NAF) for scalar multiplication rather than the traditional Double-and-Add method, and integrates parallelized hybrid Karatsuba multipliers along side the Hex Itoh-Tsujii algorithm for optimized field arithmetic. By focusing on a unified addition pattern, we achieve a latency of 29.5 ns on a Virtex-4 FPGA and 23.1 ns on a Virtex-7 , marking a reduction in clock cycles of up to 59.6% on Virtex-4 and 42.3% on Virtex-7 over previous designs. These optimizations establish a new benchmark for secure and efficient cryptographic processing on reconfigurable hardware.

Affordable and clean energy
Openalex Percentile: Top 92%
Parallel Computing and Optimization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.