Since the Lorenz chaotic system was discovered in 1963, the construction of chaotic
systems with complex dynamics has been a research hotspot in the field of chaos. Recently …

Memristive Hopfield neural network (MHNN) has complex dynamic behavior, which is
suitable for encryption applications. In order to ensure the information security of the medical …

Because of the nonlinearity and memory, memristors are the most suitable electrical
component for simulating synapses. A novel local active and nonvolatile memristor is …

In this paper, a novel discrete flux-controlled memristor model combining square and cosine
function is proposed and its properties are analyzed. Then, the discrete memristor is used to …

Aiming at the problems of small key space and weak resistance to differential attacks in
existing encryption algorithms, we proposed a chaotic digital image encryption scheme …

The exponential function is one of the basic elementary functions, which plays an
irreplaceable role in mathematics and is also widely used in practical activities such as life …

Memristive neurons and memristive neural networks constructed based on memristors have
important research significance for revealing the mystery of the brain. This paper proposes a …

Fractional-order chaotic systems are widely used in the field of encryption because of its
initial value sensitivity and historical memory. In this paper, the fractional-order definition of …

In this paper, we first present a simple seven-term 4D hyperchaotic system based on the
classical Sprott-C 3D chaotic system. This novel system is inspired by the simple 4D …

We devise a color image encryption scheme via combining hyperchaotic map, cross-plane
operation and gene theory. First, the hyperchaotic map used in the encryption scheme is …