Comparison of Advanced Encryption Standard Variants Targeted at FPGA Architectures

Paldurai, K (2023) Comparison of Advanced Encryption Standard Variants Targeted at FPGA Architectures. In: Intelligent Systems and Machine Learning. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2022 . Springer, Singapore, pp. 346-355. ISBN 9783031350771

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Abstract

Digital communication of any form must provide data confidentiality as the threats are increasing in today’s rapid world. Data privacy and security are crucial factors as data is considered gold in the modern era. The 128-bit Advanced Encryption Standard algorithm, commonly known as AES, has been implemented in several designs, focusing on specific purposes and is used widely. The 256-bit variant uses the same fundamental cipher blocks as the 128-bit version but differs in key size, the key expansion function and the number of cipher rounds. This paper investigates the 256-bit AES algorithm targeted at FPGA-Field Programmable Gate Arrays architectures and compares it with the 128-bit implementation, reporting performance and resource utilization. Also, the security offered is discussed. The security is determined by the complexity of recovering the key using cryptanalytic attacks. Both encryption and decryption processes are handled by this implementation and are tested in Verilog language using the Xilinx Vivado software on the Xilinx Zynq-7000 (xc7z020-clg484-1) FPGA.

Item Type: Book Section
Uncontrolled Keywords: Advanced Encryption Standard; Advanced Encryption Standard algorithms; AES; Data confidentiality; Data privacy and securities; Digital communications; FPGA architectures; Hardware implementations; Key expansion; Key sizes
Subjects: C Computer Science and Engineering > Artificial Neural Networks
C Computer Science and Engineering > Cryptography
C Computer Science and Engineering > Software Engineering
E Electronics and Communication Engineering > Circuit Design
Divisions: Electronics and Communication Engineering
Depositing User: Users 5 not found.
Date Deposited: 23 Jul 2024 08:20
Last Modified: 17 Aug 2024 04:21
URI: https://ir.psgitech.ac.in/id/eprint/885

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