This paper presents a study on a memristive two-neuron-based Hopfield neural network with
fractional-order derivatives. The equilibrium points of the system are identified, and their …

In this paper, we propose a novel 3-D jerk system with three quadratic nonlinear terms and
demonstrate the dynamical properties of the proposed jerk system in terms of phase …

Chaos-based cryptography has yet to achieve practical, real-world applications despite
extensive research. A major challenge is the difficulty in analysing the security of these …

In the domain of Internet of Things (IoT) applications, quantum computers offer the promise
of addressing complex computational issues that traditional cryptographic methods find …

Digital image security has become a major concern due to open networks and Internet data
sharing. Many image encryption algorithms have been introduced recently for securely …

Medical images play a crucial role in the diagnostic, planning, and monitoring of various
types of diseases and physical problems. These images contain confidential details about …

In today's world, the need for higher levels of security in storing and transferring data has
become a key concern. It is essential to safeguard data from any potential information leaks …

An image encryption scheme with visual security is designed by combining the semi-tensor
product compressed sensing (STP-CS) with multi-embedding strategy. Specifically, the …

The present research will propose an innovative technique for pixel-level encryption of color
images. After isolating the R, G, and B channels and converting them into vector mode, an …

This article presents an improvement to the traditional Vigenere encryption method,
specifically adapted for the encryption of color images. This enhancement relies on the use …