International Conference on Computer and Knowledge Engineering

Home / 13th International Conference on Computer and Knowledge Engineering

MIPS-Core Application Specific Instruction-Set Processor for IDEA Cryptography − Comparison between Single-Cycle and Multi-Cycle Architectures

Authors :

Ahmad Ahmadi¹ Reza Faghih Mirzaee²

1- Dept. of Computer Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran 2- Dept. of Computer Engineering, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran

Keywords :

ASIP،Single-Cycle Processor،Crypto Processor،Cryptography،International Data Encryption Algorithm

Abstract :

A single-cycle processor completes the execution of an instruction in only one clock cycle, albeit with a relatively long clock period. In contrast, although clock frequency is higher in a multi-cycle processor, it takes several clock cycles to finish an instruction. A crucial question, serving educational objectives as well, pertains to the performance of each solution. This paper presents a new Instruction-Set Architecture (ISA) for International Data Encryption Algorithm (IDEA) cryptography. The new design is an Application Specific Instruction-set Processor (ASIP) that supports both general-purpose and specific instructions. It is a single-cycle MIPS-core architecture with an average Clock per Instruction (CPI) of 1. Also, a comparative analysis is presented in this paper, highlighting the differences between the new processor and a comparable multi-cycle crypto processor. The FPGA implementation results show that both architectures have almost the same encoding/decoding throughput. However, the previous processor consumes nearly twice as many resources as the new one.

Papers List

List of archived papers

A Chaotic Crow Search Algorithm for Overlapping Clustering

Mostafa Sabzekar - Seyed Vahid Mousavainejad

Standardized ReACT Logits: An Effective Approach for Anomaly Segmentation in Self-driving Cars

Mahdi Farhadi - Seyede Mahya Hazavei - Shahriar Baradaran Shokouhi

A Novel Method For Fake News Detection Based on Propagation Tree

Mansour Davoudi - Mohammad Reza Moosavi - Mohammad Hadi Sadreddini

Early detection of Parkinson’s disease using Convolutional Neural Networks on SPECT images

Reyhaneh Dehghan - Marjan Naderan - Seyyed Enayatallah Alavi

Leveraging Self-Supervised Models for Automatic Whispered Speech Recognition

Aref Farhadipour - Homa Asadi - Volker Dellwo

Taguchi Design of Experiments Application in Robust sEMG Based Force Estimation

Mohsen Ghanaei - Hadi Kalani - Alireza Akbarzadeh

Using Deep Learning for Classification of Lung Cancer on CT Images in Ardabil Province

Mohammad Ali Javadzadeh Barzaki - Jafar Abdollahi - Mohammad Negaresh - Maryam Salimi - Hadi Zolfeghari - Mohsen Mohammadi - Asma Salmani - Rona Jannati - Firouz Amani

Impossible differential and zero-correlatin linear cryptanalysis of Marx, Marx2, Chaskey andSpeck32

Mahshid Saberi - Nasour Bagheri - Sadegh Sadeghi

Automatic Infrared-Based Volume and Mass Estimation System for Agricultural Products

Seyed Muhammad Hossein Mousavi - S. Muhammad Hassan Mosavi

Robust Learning to Learn Graph Topologies

Navid Akhavan Attar - Ali Fahim

Samin Hamayesh - Version 41.7.6