FPGA Implementation of High-Performance s-box Model and Bit-level Masking for AES Cryptosystem

Author:

Krishna B. Murali1,Santhosh Chella1,Khasimbee S.K.1

Affiliation:

1. Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India

Abstract

The inadequacies inherent in the existing cryptosystem have driven the development of exploit the benefits of cipher key characteristics and associated key generation tasks in cryptosystems for high-performance security systems. In this paper, cipher key-related issues that exists in conventional symmetric AES crypto system is considered as predominant issues and also discussed other problems such as lack of throughput rate, reliability and unified key management problems are considered and solved using appropriate hierarchical transformation measures. The inner stage pipelining is introduced over composite field based s-box transformation models to reduce the path delay. In addition to that, this work also includes some bit level masking technique for AES. The improved diffusion and confusion metrics of bit masking transformation model mitigates key management related issues. An extensive analysis of data rate proved the performance metrics of proposed AES model. And finally, FPGA implementation is carried out to validate the performance metrics in real time.

Publisher

FOREX Publication

Subject

Electrical and Electronic Engineering,Engineering (miscellaneous)

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Area-Optimized FPGA Accelerator for High Throughput Encryption with AXI Integration;2024 International Telecommunications Conference (ITC-Egypt);2024-07-22

2. A Novel Approach to AES S-BOX and Inverse S-BOX Design on FPGA Devices;2023 11th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC);2023-12-18

3. Design and Speed Analysis of Low Power Single and Double Edge Triggered Flip Flop with Pulse Signal Feed-Through Scheme;International Journal of Electrical and Electronics Research;2022-12-30

4. An Optimized Pipeline Based Blind Source Separation Architecture for FPGA Applications;International Journal of Electrical and Electronics Research;2022-09-30

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