Title
An efficient image encryption using non-dominated sorting genetic algorithm-III based 4-D chaotic maps
Abstract
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.
Year
DOI
Venue
2020
10.1007/s12652-019-01493-x
Journal of Ambient Intelligence and Humanized Computing
Keywords
Field
DocType
Image encryption, 4-D chaotic map, NSGA-III, Security evaluation
Data mining,Crossover,Chaotic map,Computer science,Algorithm,Sorting,Encryption,Message Passing Interface,Chaotic,Genetic algorithm
Journal
Volume
Issue
ISSN
11
3
1868-5137
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Anvita Gupta100.34
Dilbag Singh26715.16
Manjit Kaur3238.41