High-Throughput Message Digest (MD5) Design and Simulation-Based Power Estimation Using Unfolding Transformation

Abstract

The high throughput of the cryptographic hash function has become an important aspect of the hardware implementation of security system design. There are several methods that can be used to improve the throughput performance of MD5 design. In this paper, four types of MD5 design were proposed: MD5 iterative design, MD5 unfolding design, MD5 unfolding with 4 stages of pipelining design and MD5 unfolding with 32 stages of pipelining design. The results indicated that MD5 unfolding with 32 stages pipelining of design provides a high throughput compared with other MD5 designs. By using an unfolding transformation factor of 2, the number of cycles of MD5 design was reduced from 64 to 32. All the proposed designs were successfully designed using Verilog code and simulated using ModelSim. The throughput of MD5 unfolding with 32 stages of pipelining design was increased significantly to 137.97 Gbps, and the power of this MD5 unfolding with 32 stages of pipelining was 750.99 mW. Therefore, it is suggested that an unfolding transformation with a high performance pipelining are applied to MD5 hash function design in order to produce an embedded security system design. This paper is expected to be for improving the maximum frequency and the throughput of MD5 design. Thus, by increasing the number of stages in MD5 unfolding design, the performance of MD5 designs can be improved significantly.

Reconfigurable and High-Efficiency Password Recovery Algorithms Based on HRCA

“…Suhaili et al [29] designed two implementations of SHA1 on the Arria II GX EP2AGX45DF29C4, namely, the 80-cycle and 40cycle unfolded SHA1 structure, with a maximum frequency of 274.2 MHz. Suhaili et al [30] implemented four MD5 algorithms with different pipeline stages, with a maximum frequency of 290.53 MHz. Ioannou et al [31] optimized the SHA3 algorithm with a 2-stage pipeline on different FPGA devices.…”

A Data Concealing Technique with Random Noise Disturbance and a Restoring Technique for the Concealed Data by Stochastic Process Estimation

“…In our simulation of concealing and restoring data on the physical layer, we employ the message digest (Rivest 1991(Rivest , 1992aSuhaili and Watanabe 2017;MessageDigest 2020) to check the coincidence of the original word a 0 a 1 . .…”

“…In our simulation of concealing and restoring data on physical layer, we employ the message digest [5,23,24,25] to check the coincidence of the original word a 0 a 1 • • • a n and its restored word a 0 a 1 • • • a n though the message digest works on upper layers. Moreover, we can use the message digest to detect any falsification of the concealed data.…”