When an attacker meets a cipher-image in 2018: A year in review

C Li, Y Zhang, EY **e - Journal of Information Security and Applications, 2019 - Elsevier
This paper aims to review the encountered technical contradictions when an attacker meets
the cipher-images encrypted by the image encryption schemes (algorithms) proposed in …

New fixed-time stability lemmas and applications to the discontinuous fuzzy inertial neural networks

F Kong, Q Zhu, T Huang - IEEE Transactions on Fuzzy Systems, 2020 - ieeexplore.ieee.org
This article aims to analyze the fixed-time synchronization of a class of discontinuous fuzzy
inertial neural networks with time-varying delays based on the new improved fixed-time …

Secure communication based on quantized synchronization of chaotic neural networks under an event-triggered strategy

W He, T Luo, Y Tang, W Du, YC Tian… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This article presents a secure communication scheme based on the quantized
synchronization of master-slave neural networks under an event-triggered strategy. First, a …

Event-triggered output feedback synchronization of master–slave neural networks under deception attacks

A Kazemy, J Lam, XM Zhang - IEEE Transactions on Neural …, 2020 - ieeexplore.ieee.org
The problem of event-triggered synchronization of master–slave neural networks is
investigated in this article. It is assumed that both communication channels from the sensor …

Finite-time and fixed-time synchronization of a class of inertial neural networks with multi-proportional delays and its application to secure communication

AM Alimi, C Aouiti, EA Assali - Neurocomputing, 2019 - Elsevier
Proportional delay, which is different from time-varying delays and distributed delay, is a
kind of unbounded delay. The proportional delay system as an important mathematical …

Synchronization of delayed fuzzy neural networks with probabilistic communication delay and its application to image encryption

S Yan, Z Gu, JH Park, X **e - IEEE Transactions on Fuzzy …, 2022 - ieeexplore.ieee.org
In this article, we study the design of fuzzy synchronization controller of Takagi–Sugeno (T–
S) fuzzy neural networks with distributed time-varying delay and probabilistic network …

Impulsive synchronization of unbounded delayed inertial neural networks with actuator saturation and sampled-data control and its application to image encryption

H Li, C Li, D Ouyang, SK Nguang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The article considers the impulsive synchronization for inertial neural networks with
unbounded delay and actuator saturation via sampled-data control. Based on an impulsive …

Neural cryptography based on complex-valued neural network

T Dong, T Huang - IEEE transactions on neural networks and …, 2019 - ieeexplore.ieee.org
Neural cryptography is a public key exchange algorithm based on the principle of neural
network synchronization. By using the learning algorithm of a neural network, the two neural …

Adaptive control for fractional order induced chaotic fuzzy cellular neural networks and its application to image encryption

P Mani, R Rajan, L Shanmugam, YH Joo - Information Sciences, 2019 - Elsevier
The main concern of this paper is to address the synchronization problem of chaotic
fractional-order fuzzy cellular neural networks (FOFCNNs) through designing the novel …

Finite-time synchronization for fuzzy inertial neural networks by maximum value approach

Z Zhang, J Cao - IEEE Transactions on Fuzzy Systems, 2021 - ieeexplore.ieee.org
In this article, the finite-time synchronization of drive-response fuzzy inertial neural networks
with delays is considered. Without applying the finite-time stability theorems and integral …