Article
Engineering, Electrical & Electronic
Suo Gao, Rui Wu, Xingyuan Wang, Jin Wang, Qi Li, Chunpeng Wang, Xianglong Tang
Summary: This paper proposes a 3D model encryption method based on a 2D chaotic system, using 2D-LAIC to generate an unpredictable keystream for encryption. The method is applied to the encryption process of 3D models and has been proven to be secure and effective through security analysis and experimental comparison.
Article
Computer Science, Information Systems
Tayseer Karam Alshekly, Ekhlas Abbas Albahrani, Sadeq H. Lafta
Summary: The article proposes a method for constructing substitution-permutation boxes based on the Qi Hyperchaotic System to generate more robust S-Boxes. The new S-Boxes are analyzed and tested for various criteria, and the results show that the proposed method is suitable for designing S-Boxes widely used in block ciphers. The S-Boxes are applied to a new image encryption algorithm.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Mathematics, Interdisciplinary Applications
Mingshu Chen, Zhen Wang, Xiaojuan Zhang, Huaigu Tian
Summary: This paper introduces chaotic attractors without equilibria, with an unstable node, and with stable node-focus. The dynamics of conservative solutions are investigated using semi-analytical and semi-numerical methods. Multiple coexisting attractors are studied along with the system's global structure and dynamics at infinity, while the stability of periodic solutions bifurcating from Hopf-zero bifurcation is analyzed using the averaging theory.
Article
Mathematics, Interdisciplinary Applications
Yang Lu, Mengxin Gong, Zhihua Gan, Xiuli Chai, Lvchen Cao, Binjie Wang
Summary: As the digital age advances, the use of 3D models has become increasingly popular in fields such as medicine, engineering, and the metaverse. This paper proposes an encryption algorithm for protecting 3D medical models. It introduces a one-dimensional improved Chebyshev chaotic system (1D-ICCS) for generating pseudo-random sequences and presents a permutation-diffusion framework for 3D models. Experimental results demonstrate the effectiveness of the proposed method in resisting attacks and achieving high ciphertext information entropy.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Computer Science, Information Systems
Chen Chen, Donglin Zhu, Xiao Wang, Lijun Zeng
Summary: Digital image transmission is crucial in information transmission, emphasizing the importance of securing image transmission. In this study, a new digital image encryption algorithm based on the splicing model and 1D quadratic chaotic system is proposed after analyzing existing image encryption algorithms. The algorithm divides the plain image into four sub-parts using quaternary coding, ensuring high security by requiring all sub-parts for image recovery. Additionally, the algorithm utilizes a 1D quadratic chaotic system to provide a sufficiently large key space, effectively resisting exhaustive attacks and demonstrating high security and encryption effectiveness.
Article
Computer Science, Artificial Intelligence
Jasra Bhat, Ayaz Hassan Moon
Summary: This paper proposes a novel image encryption and authentication scheme utilizing DNA encoding, hyperchaotic system, and elliptic curve cryptography, which provides high encryption security and computational efficiency. By permutating image information at bit-level and block-level, the scheme protects image data from various attacks.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Yongming Zhang, Ruoyu Zhao, Yushu Zhang, Rushi Lan, Xiuli Chai
Summary: This article proposes a scheme that combines thumbnail-preserving encryption (TPE) with chaotic systems, significantly reducing the encryption and decryption time while achieving a balance between privacy and visual usability.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Optics
Xuejun Li, Jun Mou, Li Xiong, Zhisen Wang, Ji Xu
Summary: This paper proposes a fractional-order double-ring erbium-doped fiber laser chaotic system and studies its dynamic characteristics. Compared to integer-order systems, the fractional-order chaotic system has more complex dynamics and higher sensitivity and randomness. When applied to image encryption algorithms, the system demonstrates good encryption effect and security performance.
OPTICS AND LASER TECHNOLOGY
(2021)
Article
Computer Science, Software Engineering
Pengfei Fang, Han Liu, Chengmao Wu, Min Liu
Summary: This paper first summarizes the development of current image encryption algorithms, then analyzes the advantages, disadvantages, and latest achievements of image encryption algorithms based on chaotic systems, and discusses future research directions and development trends.
Article
Physics, Multidisciplinary
Jilei Sun
Summary: This paper proposes an associated color chaotic image encryption algorithm based on a two-dimensional chaotic system and random XOR diffusion. The algorithm generates initial values and key streams, processes color image channels into matrices, and then performs color image scrambling and random XOR diffusion based on the 2D-LSCM mathematical expression.
Article
Mathematics, Interdisciplinary Applications
Shuang Zhou, Yuyu Qiu, Guoyuan Qi, Yingqian Zhang
Summary: This paper proposes a new n-dimensional conservative chaotic model and verifies its effectiveness by generating a five-dimensional conservative chaotic system. The system has good chaotic properties, including large Lyapunov exponents, continuous chaotic ranges, and high complexity. Additionally, the proposed system demonstrates good randomness and has been implemented on a digital signal processor hardware platform. The paper also presents a new image encryption scheme based on the new system, which shows strong encryption capabilities against various attacks.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Engineering, Mechanical
Xudong Liu, Xiaojun Tong, Zhu Wang, Miao Zhang
Summary: This article proposes an image encryption algorithm based on chaotic systems, and constructs the encryption system through the chaotic system generation algorithm and chaotic S-box generation algorithm. The experimental results show that the algorithm has good cryptographic properties.
NONLINEAR DYNAMICS
(2022)
Article
Computer Science, Information Systems
Jin Hao, Jun Mou, Li Xiong, Yingqian Zhang, Xinyu Gao, Yuwen Sha
Summary: This paper proposes a novel color image encryption algorithm based on the fractional order laser chaotic system and DNA mutation principle, analyzing the dynamic characteristics of the system and designing an encryption scheme. By scrambling the image values using chaotic sequences and Arnold matrices, and introducing DNA diffusion algorithm and DNA mutation theory for increased randomness, the algorithm demonstrates strong encryption capabilities and resistance to multiple decryption methods, enabling secure communication of digital images.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Yongjin Xian, Xingyuan Wang, Lin Teng, Xiaopeng Yan, Qi Li, Xiaoyu Wang
Summary: This study proposes an iterative method for vectors with fractal characteristics, using the double parameters fractal sorting vector (DPFSV) to control node relationships in spatiotemporal chaotic systems. The new spatiotemporal chaotic system based on DPFSV exhibits better dynamics compared to the coupled map lattice (CML) system. Combining DPFSV and the spatiotemporal chaotic system, a new cryptographic system is constructed to achieve permutation-diffusion synchronous encryption, which proves to have a good encryption effect and resistance to various attacks.
INFORMATION SCIENCES
(2022)
Article
Engineering, Mechanical
Zhongyun Hua, Zhihua Zhu, Yongyong Chen, Yuanman Li
Summary: In this study, a new color image encryption algorithm is proposed by introducing a two-dimensional chaotic system and orthogonal Latin squares, which fully considers the inherent connections between color images and Latin squares, achieving encryption at the pixel level.
NONLINEAR DYNAMICS
(2021)
Article
Automation & Control Systems
Mengzhuo Luo, Jun Cheng, Xin Wang, Kaibo Shi
Summary: This paper addresses the observer-based dynamic event-triggered sliding mode control problem for fuzzy singular semi-Markovian jump systems subject to generalized dissipative performance. It introduces a novel double-quantized structure and develops a mode-dependent adaptive sliding mode control law. Furthermore, it proposes a dynamically regulated event-based threshold function and quantized data transmission method. The uniqueness of the solution for the systems is established through suitable observer design and elegant linearization technique. The desired control gains, observer gains, and triggering parameter matrices are co-designed using Lyapunov functional and linear matrix inequality technique, with the integration of derivative singular matrix simplifying the verification process. Numerical and practical examples are provided to validate the effectiveness of the design.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Automation & Control Systems
Tianbo Xu, Chunxia Zhu, Wenhai Qi, Jinde Cao, Jun Cheng, Kaibo Shi, Guangsheng Pan
Summary: This article focuses on the issue of finite-time analysis for fuzzy semi-Markovian jump systems (S-MJSs) with multiple disturbances. The Takagi-Sugeno fuzzy method is applied to address the nonlinear problem of closed-loop systems. Unlike existing research, this article analyzes delay, multiple disturbances, generally uncertain transition rate, and uncertain parameters in a unified S-MJSs framework.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2023)
Article
Automation & Control Systems
Lifei Xie, Jun Cheng, Jinde Cao, Mengjie Hu
Summary: This paper focuses on the control design problem for wind turbine generator systems (WTGSs) using a proportional-integral observer. A semi-Markov jump process is used to describe the operation points of WTGSs between different subareas considering variable wind speed. An adaptive-memory event-triggered protocol (AMETP) is constructed for efficient transmission frequency modulation, resulting in improved dynamic performance. Sufficient criteria for the stochastic stability of the closed-loop systems are formulated based on parameter-dependent Lyapunov stability theory. The feasibility of the approach is demonstrated through a numerical example.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Automation & Control Systems
Shan Liu, Jun Cheng, Dan Zhang, Jinde Cao, Huiyan Zhang, Ahmed Alsaedi
Summary: This paper investigates the dynamic quantized control for switched fuzzy systems with singular perturbation and an improved event-triggered protocol. Nonhomogeneous sojourn probabilities are employed to characterize the dynamic behavior of switched fuzzy singularly perturbed systems based on a deterministic switching signal. A quantization-based event-triggered protocol is presented to decrease the communication load. A novel event-triggered asynchronous control law is built based on the hidden Markov model. Two examples are provided to demonstrate the practicality of the obtained results.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Automation & Control Systems
Wenhai Qi, Yakun Hou, Ju H. Park, Guangdeng Zong, Jinde Cao, Jun Cheng
Summary: This article focuses on the problem of discrete-time sliding mode control (DTSMC) for uncertain networked semi-Markovian switching systems (S-MSSs) under random denial-of-service (DoS) attacks. The semi-Markovian kernel (SMK) approach is used for controlling the switching between different modes, and a sliding mode function related to the attack probability is constructed to analyze the impact of malicious attacks. Sufficient conditions are derived to ensure that the proposed DTSMC law can drive the system dynamics onto the preset sliding region within a limited time.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Wei Kang, Gang Qin, Jun Cheng, Huaicheng Yan, Iyad Katib, Jinde Cao
Summary: This paper proposes a security control method for a discrete-time switched power system using a probabilistic event-triggered protocol, which effectively optimizes network resource utilization and improves system security and stability under multi-strategy deception attacks.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Computer Science, Artificial Intelligence
Junhui Wu, Gang Qin, Jun Cheng, Jinde Cao, Huaicheng Yan, Iyad Katib
Summary: This paper proposes an innovative approach to mitigate the effects of deception attacks in Markov jumping systems by developing an adaptive neural network control strategy. The approach effectively approximates the unbounded false signals injected by deception attacks and establishes a connection between the joint Markov chain and controller.
Article
Computer Science, Artificial Intelligence
An Lin, Jun Cheng, Leszek Rutkowski, Shiping Wen, Mengzhuo Luo, Jinde Cao
Summary: This article studies the asynchronous fault detection filter problem for discrete-time memristive neural networks with a stochastic communication protocol and denial-of-service attacks. It proposes a solution using a dwell-time-based communication protocol and modeling of denial-of-service attacks with compensation strategy to ensure stability.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
Lifei Xie, Jun Cheng, Yanli Zou, Zheng-Guang Wu, Huaicheng Yan
Summary: This work focuses on the load frequency control issue in interconnected multiarea power systems, considering dynamic behavior, random variations, and deception attacks. A novel dynamic-memory event-triggered protocol is developed to modulate transmission frequency and a memory-based asynchronous control strategy is proposed to reveal mode mismatches. Sufficient conditions for stochastic stability are established using Lyapunov theory. Simulation results demonstrate the effectiveness of the proposed approach.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Meng-Jie Hu, Ju H. H. Park, Jun Cheng, Lifei Xie
Summary: This article addresses the security H-8 fuzzy control problem for Takagi-Sugeno fuzzy semi-Markov switching systems with event-based strategy and hybrid cyber-attacks. A mode-dependent dynamic event-triggered mechanism is developed for each sub-system to efficiently use network resources and avoid unnecessary signal transmission. The article also considers a practical network environment subject to deception and denial-of-service attacks, and uses Bernoulli distributed variables to characterize the randomly occurring hybrid attacks. The proposed theoretical approach is demonstrated to be valid and superior through its application to the Duffing-Van der Pols oscillator.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Jiangming Xu, Jun Cheng, Ju H. Park, Huaicheng Yan, Wenhai Qi
Summary: This work focuses on the finite-time control problem of semi-Markov switching systems with singular perturbation and general transition rates. The mode switching is determined by a semi-Markov process (SMP), and the variations of the SMP are revealed by a deterministic switching signal. A generalized framework of uncertain transition rates is established by analyzing conservatism. A novel triggering condition is efficiently constructed based on the quantization range of the dynamic quantizer to decrease triggering rates and maintain control performance. Sufficient conditions are attained to maintain the prescribed performance within the finite-time interval, and numerical simulations demonstrate the solvability and practicability of the achieved control strategy.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Computer Science, Information Systems
Wei Kang, Kaibo Shi, Jun Cheng
Summary: In this work, a prescribed-time second-order sliding mode (SOSM) controller is proposed for a class of nonlinear systems with asymmetric output constraints. The controller employs an asymmetric barrier Lyapunov function to handle the asymmetric constraints and a time-varying scaling function for prescribed-time convergence. Theoretical analysis shows that the proposed SOSM control scheme ensures prescribed-time stability without violating the asymmetric constraints, and the convergence time can be specified beforehand. An academic simulation example is provided to validate the effectiveness of the proposed control scheme.
Article
Automation & Control Systems
Jun Cheng, Shan Liu, Huaicheng Yan, Zheng-Guang Wu, Dan Zhang
Summary: This paper focuses on the sliding mode control of switching singularly perturbed systems in the presence of dynamic-memory event-triggered protocol. By introducing a novel nonhomogeneous sojourn probability and a dynamic event-triggered protocol, a singularly-perturbed-parameter-based sliding mode controller is designed and its efficiency is verified through simulation examples.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Automation & Control Systems
Wenhai Qi, Ning Zhang, Guangdeng Zong, Shun-Feng Su, Jinde Cao, Jun Cheng
Summary: This study investigates the asynchronous sliding-mode control for discrete-time networked hidden stochastic jump systems under semi-Markov kernel and cyber attacks. A hidden semi-Markov model is proposed to describe the asynchronous situation, and an asynchronous SMC scheme is designed for mean-square stability. The effectiveness of the proposed method is verified using an electronic throttle model.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Computer Science, Artificial Intelligence
Lidan Liang, Jun Cheng, Jinde Cao, Zheng-Guang Wu, Wu-Hua Chen
Summary: This article investigates the design issue of asynchronous proportional-integral observer (PIO) for singularly perturbed complex networks subject to cyberattacks. The stochastic disturbances of the inner linking strengths are characterized using a nonhomogeneous Markov switching process and multiple scalar Winner processes. By utilizing the Lyapunov theory, sufficient conditions are established to ensure that the augmented dynamics are mean-square exponentially ultimately bounded.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
