A new Dhall–Yadav 2D chaotic map (DY2DCM) with application to image encryption scheme

This paper presents a new two-dimensional chaotic system with three progressively designed variants aimed at achieving a balance between analytical simplicity and complex nonlinearity. The proposed system DY2DCM includes exponential terms, trigonometric functions-based nonlinearity, and rational coupling, while successive changes introduce control parameters and modulated trigonometric functions to enrich the dynamical behavior of DY2DCM variants. A thorough analysis of the proposed system is carried out using different tools like time-series analysis, phase portraits, bifurcation diagrams, Lyapunov exponents, and the 0-1 test. The results of these analysis confirm the presence of robust chaotic dynamics in DY2DCM. This work presents an substitution–permutation network based new image encryption to demonstrate the practicability of DY2DCM. Further, the proposed system is utilized to generate key-streams for providing required confusion and diffusion in proposed scheme. This work also presents the result of extensive experiments carried on scheme, including information entropy, histogram analysis, correlation coefficients, and avalanche property, etc. The results support the robustness of proposed scheme. This work highlights that our scheme is resistant against common cryptanalytic attacks like chosen-plaintext/ciphertext attacks.

Authors

Institutions

Publication Details

Journal
Acta Universitatis Sapientiae Mathematica
Published
2026-08-17
DOI
https://doi.org/10.1007/s44426-026-00068-6
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A new Dhall–Yadav 2D chaotic map (DY2DCM) with application to image encryption scheme

Khushboo Yadav, Arshad Khan, M. Y. Abbasi
Acta Universitatis Sapientiae Mathematica
Chaos-based Image/Signal Encryption
article

A new Dhall–Yadav 2D chaotic map (DY2DCM) with application to image encryption scheme

Khushboo Yadav, Arshad Khan, M. Y. Abbasi
article en

Abstract

This paper presents a new two-dimensional chaotic system with three progressively designed variants aimed at achieving a balance between analytical simplicity and complex nonlinearity. The proposed system DY2DCM includes exponential terms, trigonometric functions-based nonlinearity, and rational coupling, while successive changes introduce control parameters and modulated trigonometric functions to enrich the dynamical behavior of DY2DCM variants. A thorough analysis of the proposed system is carried out using different tools like time-series analysis, phase portraits, bifurcation diagrams, Lyapunov exponents, and the 0-1 test. The results of these analysis confirm the presence of robust chaotic dynamics in DY2DCM. This work presents an substitution–permutation network based new image encryption to demonstrate the practicability of DY2DCM. Further, the proposed system is utilized to generate key-streams for providing required confusion and diffusion in proposed scheme. This work also presents the result of extensive experiments carried on scheme, including information entropy, histogram analysis, correlation coefficients, and avalanche property, etc. The results support the robustness of proposed scheme. This work highlights that our scheme is resistant against common cryptanalytic attacks like chosen-plaintext/ciphertext attacks.

Acta Universitatis Sapientiae MathematicaVol. 18(1)
Jamia Millia Islamia (IN)
Openalex Percentile: Top 11%
Chaos-based Image/Signal Encryption
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.