Novel image encryption algorithm based on improved logistic map

80Citations
Citations of this article
52Readers
Mendeley users who have this article in their library.

Abstract

Chaotic mapping has been widely used in image encryption given the unpredictability, ergodicity, and sensitivity of parameters and initial values and the high correspondence with cryptography. The logistic map has the disadvantages of uneven distribution, low security, and small parameter space. In order to overcome these disadvantages, in this article, a new chaotic map based on a real-time variable logistic map with a randomly selected decimal is proposed. Furthermore, this chaotic mapping is applied to image encryption. Several simulation experiments show that the new encryption algorithm can obtain a safely encrypted image at a minimal time complexity.

References Powered by Scopus

2D Sine Logistic modulation map for image encryption

690Citations
N/AReaders
Get full text

Image encryption using 2D Logistic-adjusted-Sine map

670Citations
N/AReaders
Get full text

A chaos-based symmetric image encryption scheme using a bit-level permutation

619Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Characteristic analysis of the fractional-order hyperchaotic complex system and its image encryption application

135Citations
N/AReaders
Get full text

Color image encryption using non-dominated sorting genetic algorithm with local chaotic search based 5D chaotic map

131Citations
N/AReaders
Get full text

An image encryption algorithm based on hyperchaotic system and DNA coding

117Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Li, R., Liu, Q., & Liu, L. (2019). Novel image encryption algorithm based on improved logistic map. IET Image Processing, 13(1), 125–134. https://doi.org/10.1049/iet-ipr.2018.5900

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 12

55%

Professor / Associate Prof. 4

18%

Lecturer / Post doc 4

18%

Researcher 2

9%

Readers' Discipline

Tooltip

Engineering 11

55%

Computer Science 7

35%

Psychology 2

10%

Article Metrics

Tooltip
Social Media
Shares, Likes & Comments: 14

Save time finding and organizing research with Mendeley

Sign up for free