Modified Lightweight AES based on Replacement Table and Chaotic System

dalal hammod
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引用次数: 2

Abstract

Cryptography is being utilized in a variety of applications to ensure data transmission and real-time communications are secure. Lightweight AES has long been accepted around the world and is used to secure sensitive data in a variety of businesses, but it has been plagued by slow processing and long data transfer times. This work proposes a way for changing the Lightweight Advance Encryption Standard (ML-AES) Algorithm by modifying two stages in the encryption section, the SubByte and ShiftRows, and the InvSubByte and InvShiftRows in the decryption part. The ML-AES achieved good results in achieving communication with high performance standards in terms of randomness, encryption time, storage space, and avalanche effects after testing the results. Based on NIST statistical testing against assaults, the ML-AES has good randomness to ciphertext. Also, (ML-AES) lowered the encryption time by 10% compared to the original AES, making it faster than the original AES. The suggested approach also performed well in terms of memory use, with a value of (54.36) for the ML-AES and a value of (54.36) for the original AES (66.23). Furthermore, the avalanche effects utilized to calculate diffusion property are (52.08%) for the ML-AES and (51.82%) for the original AES.
基于替换表和混沌系统的改进轻量级AES
密码学被用于各种应用中,以确保数据传输和实时通信的安全性。轻量级AES长期以来一直在世界范围内被接受,并用于保护各种业务中的敏感数据,但它一直受到处理速度慢和数据传输时间长的困扰。这项工作提出了一种改变轻量级高级加密标准(ML-AES)算法的方法,通过修改加密部分的两个阶段,SubByte和ShiftRows,以及解密部分的InvSubByte和InvShiftRows。经过对结果的测试,ML-AES在随机性、加密时间、存储空间、雪崩效应等方面实现了高性能标准的通信,取得了很好的效果。经过NIST的攻击统计测试,ML-AES对密文具有良好的随机性。此外,与原始AES相比,(ML-AES)将加密时间降低了10%,使其比原始AES更快。建议的方法在内存使用方面也表现良好,ML-AES的值为(54.36),原始AES的值为(54.36)。此外,用于计算扩散特性的雪崩效应对ML-AES和原始AES的影响分别为52.08%和51.82%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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