A Review on Implementation of AES Algorithm Using FPGA

Asawari Ujjainkar , Prof. A.B. Kharate

AES, Encryption, Decryption, FPGA, VHDL, Security

Now a day’s large number of internet and wireless communication users has led to an increasing demand of security measures and devices for protecting the user data transmitted over the unsecured network so that unauthorized persons cannot access it . As we share the data through wireless network it should provide data confidentiality, integrity and authentication. The symmetric block cipher plays a major role in the bulk data encryption. Advanced Encryption Standard (AES) provides data security. AES has the advantage of being implemented in both hardware and software. Hardware implementation of the AES has lot of advantage such has increased throughput and better security level. Hardware Implementation for 128 bit AES (Advanced Encryption Standard) encryption and Decryption has been made using VHDL. The proposed algorithm for encryption and decryption module will functionally verified using modelsim, will be synthesize using Quartus 2 using Altera FPGA platform and analyze the design for the power, Throughput & area.

Published Paper   E-Certificate

"A Review on Implementation of AES Algorithm Using FPGA", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 1, page no.1180 - 1185, January-2023, Available :https://ijsdr.org/papers/IJSDR2301186.pdf

Volume 8 Issue 1, January-2023

Pages : 1180 - 1185

Paper Reg. ID: IJSDR_203757

Published Paper Id: IJSDR2301186

Downloads: 000347219

Research Area: Electronics & Communication Engg. 

Country: Amravati, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2301186

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2301186

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition