The security of chaos-based Image Encryption (IE) algorithms inherently depends on the
permutation and diffusion strategy of the algorithm and the dynamic performance of chaotic …

Memristor possesses synapse-like properties that can mimic excitation and inhibition
between neurons. This article introduces the Sigmoid functions to the memristor and …

Chaotic systems are commonly being researched for applications in cryptography. In this
study, a novel chaotic two-dimensional hyperchaotic exponential adjusted Logistic and sine …

As a result of their prominent initial value sensitivity, pseudo-randomness, and
unpredictability nature, chaotic maps are widely used in multimedia security. However, the …

Propagation and exchange of electrical signals between neurons mainly depend on the
controllability of synapses. These electrical signals will affect the dynamic characteristics of …

In this paper, a new four-dimensional chaotic system derived from the continuous Hopfield
neural network (CHNN) model is designed, and the weight parameters are optimized to …

Multi-scroll chaotic systems have been extensively used in various fields such as secure
communication and image encryption due to their unique performances. In this paper, a five …

Exploring special multi-scroll chaotic systems is meaningful work. This paper studies an
expanded multi-scroll chaotic system consisting of eight terms with one nonlinearity. It is …

In the realm of Internet of Things (IoT) systems, the interconnectivity of physical hardware
devices is a fundamental aspect, and as a result, data exchange assumes a critical role in …

Memristor enables the coupling of magnetic flux to membrane voltage and is widely used to
investigate the response characteristics of neurons to electromagnetic radiation. In this …