Design and implementation of MD5 hash function algorithm using verilog HDL
Over the past 20 years, the demand of computers and the Internet has been increasing and people have paid a growing attention to information and network security. In result, various encryption algorithms coming into being. Cryptographic algorithm has become one of the most essential features of embe...
Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Language: | English English |
Published: |
Springer Science and Business Media Deutschland GmbH
2022
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/39713/1/Design%20and%20Implementation%20of%20MD5%20Hash%20Function%20Algorithm.pdf http://umpir.ump.edu.my/id/eprint/39713/2/Design%20and%20implementation%20of%20MD5%20hash%20function%20algorithm%20using%20verilog%20HDL_ABS.pdf |
Summary: | Over the past 20 years, the demand of computers and the Internet has been increasing and people have paid a growing attention to information and network security. In result, various encryption algorithms coming into being. Cryptographic algorithm has become one of the most essential features of embedded system design. Hash functions are one of the cryptographies that can be used in both security design applications and protocol suites. A few distinct applications of hash algorithms are digital signatures, digital time stamping and the message integrity verification. Among hash algorithms, MD5 is the most used hash function algorithm. This paper proposed iterative looping architecture. The architecture includes MD5 padding block, data path, and a controller. A general concept and implementation of the MD5 hash function is described. The MD5 hash function modelling was done using Verilog, compiled with a few targeted virtual Altera Quartus devices, and simulated using ModelSim. Its performance in terms of frequency and throughput is compared with other MD5 implementations. The maximum frequency achieved is 111.45 MHz, and the throughput of iterative looping design was increased significantly to 864.58 Mbps using family device of Arria II GX. The improved performance of the implementation is the main goal of the design presented herein. |
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