An efficient image encryption using non-dominated sorting genetic algorithm-III based 4-D chaotic mapsImage encryption

被引:0
|
作者
Anvita Gupta
Dilbag Singh
Manjit Kaur
机构
[1] University Institute of Engineering,Department of Computer Science and Engineering
[2] Chandigarh University,Department of Computer Science and Engineering, School of Computing and Information Technology
[3] Manipal University Jaipur,Department of Computer and Communication Engineering, School of Computing and Information Technology
[4] Manipal University Jaipur,undefined
来源
Journal of Ambient Intelligence and Humanized Computing | 2020年 / 11卷
关键词
Image encryption; 4-D chaotic map; NSGA-III; Security evaluation;
D O I
暂无
中图分类号
学科分类号
摘要
Chaotic maps are extensively utilized in the field of image encryption to generate secret keys. However, these maps suffer from hyper-parameters tuning issues. These parameters are generally selected on hit and trial basis. However, inappropriate selection of these parameters may reduce the performance of chaotic maps. Also, these hyper-parameters are not sensitive to input images. Therefore, in this paper, to handle these issues, a non-dominated sorting genetic algorithm-III (NSGA) based 4-D chaotic map is designed. Additionally, to improve the computational speed of the proposed approach, we have designed a novel master-slave model for image encryption. Initially, computationally expensive operations such as mutation and crossover of NSGA-III are identified. Thereafter, NSGA-III parameters are split among two jobs, i.e., master and slave jobs. For communication between master and slave nodes, the message passing interface is used. Extensive experimental results reveal that the proposed image encryption technique outperforms the existing techniques in terms of various performance measures.
引用
收藏
页码:1309 / 1324
页数:15
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