Modification of AES using genetic algorithms for high-definition image encryption

被引:0
|
作者
Basu S. [1 ]
Karuppiah M. [1 ]
Rajkumar S. [1 ]
Niranchana R. [1 ]
机构
[1] School of Computer Science and Engineering, VIT University, Vellore, Tamilnadu
来源
International Journal of Intelligent Systems Technologies and Applications | 2018年 / 17卷 / 04期
关键词
Advanced standard encryption; AES; GA; Image encryption; Key generation; S-box;
D O I
10.1504/ijista.2018.10015378
中图分类号
学科分类号
摘要
Genetic algorithms (GAs) have proved to be a powerful tool in cryptography. The standard advanced standard encryption (AES) algorithm incurs high computation costs and has problems in pattern formation when applied to image encryption. It is also prone to the differential and side channel attacks. In this paper, a modification of AES has been proposed for high-definition (HD) Image Encryption that uses a genetic approach for the S − Box Generation and Key Expansion processes. S − Boxes have been evolved to have high non-linearity and low transparency. Also, in the key generation, the process has been randomised by using only genetic operators. As a result of applying genetic modifications to AES, the proposed algorithm has been found to be more secure against the differential and side-channel attacks and shows reduced pattern appearance when applied for encryption of HD images. Copyright © 2018 Inderscience Enterprises Ltd.
引用
收藏
页码:452 / 466
页数:14
相关论文
共 50 条
  • [41] Chaos-based image encryption using a hybrid genetic algorithm and a DNA sequence
    Enayatifar, Rasul
    Abdullah, Abdul Hanan
    Isnin, Ismail Fauzi
    OPTICS AND LASERS IN ENGINEERING, 2014, 56 : 83 - 93
  • [42] A chaotic based image encryption scheme using elliptic curve cryptography and genetic algorithm
    Sanjay Kumar
    Deepmala Sharma
    Artificial Intelligence Review, 57
  • [43] A chaotic based image encryption scheme using elliptic curve cryptography and genetic algorithm
    Kumar, Sanjay
    Sharma, Deepmala
    ARTIFICIAL INTELLIGENCE REVIEW, 2024, 57 (04)
  • [44] A coupled map lattice-based image encryption approach using DNA and bi-objective genetic algorithm
    Suri S.
    Vijay R.
    International Journal of Information and Computer Security, 2020, 12 (2-3): : 199 - 216
  • [45] An efficient image encryption using non-dominated sorting genetic algorithm-III based 4-D chaotic maps Image encryption
    Gupta, Anvita
    Singh, Dilbag
    Kaur, Manjit
    JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2020, 11 (03) : 1309 - 1324
  • [46] Image encryption approach using improved chaotic system incorporated with differential evolution and genetic algorithm
    Bhowmik, Sandeep
    Acharyya, Sriyankar
    JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 2023, 72
  • [47] Fast image encryption algorithm with high security level using the Bulban chaotic map
    Talhaoui, Mohamed Zakariya
    Wang, Xingyuan
    Midoun, Mohamed Amine
    JOURNAL OF REAL-TIME IMAGE PROCESSING, 2021, 18 (01) : 85 - 98
  • [48] Medical image encryption using high-speed scrambling and pixel adaptive diffusion
    Hua, Zhongyun
    Yi, Shuang
    Zhou, Yicong
    SIGNAL PROCESSING, 2018, 144 : 134 - 144
  • [49] Hardware Implementation of a Chaos Based Image Encryption Using High-Level Synthesis
    Sharifian, Saeed M. M.
    Rashtchi, Vahid
    Azarpeyvand, Ali
    2021 29TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), 2021, : 165 - 169
  • [50] Fast image encryption algorithm with high security level using the Bülban chaotic map
    Mohamed Zakariya Talhaoui
    Xingyuan Wang
    Mohamed Amine Midoun
    Journal of Real-Time Image Processing, 2021, 18 : 85 - 98