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Dual Event-Triggered Synchronization of Two-Time-Scale Jumping Neural Networks and Its Application in image encryption and decryption

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IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING 2025年第2期12卷 943-954页

作者： Li, Feng Wang, Ya-Nan Shen, Hao Anhui Univ Technol Anhui Prov Key Lab Power Elect & Mot Control Maanshan 243032 Peoples R China Anhui Univ Technol Sch Elect & Informat Engn Maanshan 243032 Peoples R China

Synchronization of neural networks has found widespread applications in practice. The existing results about the event-triggered synchronization of two-time-scale neural networks/systems mainly design a common event-triggered mechanism using single-rate sampling method on different time scales, which ignores the two-time-scale characteristics and may lead to a suboptimal reduction in communication burden on different time scales. This paper concentrates on dual event-triggered synchronization issues for two-time-scale jumping neural networks. The neural networks are modeled with two-time-scale structures and the changes of jumping parameters follow the Markov process. First, a double-rate sampling method is adopted and the dual event-triggered mechanism is proposed, which contains two separate event-triggered conditions for different time scales states. Then, sufficient conditions are established for the H-infinity performance analysis of the two-time-scale jumping neural networks while considering the dual event-triggered mechanism. Moreover, based on the above conditions, the controller gains are derived to achieve the event-triggered synchronization of the neural networks. At last, the availability of the proposed approach is demonstrated via two examples, in which image encryption and decryption are used to illustrate the application prospects of the synchronization for two-time-scale jumping neural networks.

关键词： Event detection Synchronization Vectors Artificial neural networks Sampling methods Mathematical models encryption Biological neural networks Symmetric matrices Perturbation methods Markov jump neural networks H-infinity synchronization event-triggered mechanism two-time-scale neural networks image encryption and decryption

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Numerical algorithms for corner-modified symmetric Toeplitz linear system with applications to image encryption and decryption

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JOURNAL OF APPLIED MATHEMATICS AND COMPUTING 2023年第2期69卷 1967-1987页

作者： Zhang, Xing Zheng, Yanpeng Jiang, Zhaolin Byun, Heejung Linyi Univ Sch Informat Sci & Technol Linyi 276000 Shandong Peoples R China Univ Suwon Coll Informat Technol Hwaseong Si 445743 South Korea Linyi Univ Sch Automat & Elect Engn Linyi 276000 Shandong Peoples R China Linyi Univ Sch Math & Stat Linyi 276000 Shandong Peoples R China

The corner-modified symmetric Toeplitz matrix can be considered as a symmetric Toplitz matrix plus two rank-one matrices. Based on the decomposition of Toeplitz inversion and order-reduction algorithm, two new algorithms for the product of symmetric Toplitz inversion and the vector are proposed. Also, we give two fast algorithms for the solution of corner-modified symmetric Toeplitz linear system. The structured perturbation analysis of the symmetric Toplitz matrix inversion is presented next. We exploit the proposed methods for image encryption and decryption, which can be performed via the fast (corner-modified) symmetric Toeplitz matrix-vector multiplications, and (corner-modified) symmetric Toeplitz linear solvers. Numerical experiments demonstrate that our proposed algorithms are accurate and effective, especially in high-order systems (often over 2(12)).

关键词： Corner-modified symmetric Toeplitz matrix Symmetric Toeplitz matrix inversion Order-reduction algorithm image encryption and decryption

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Fixed-time Synchronization of Complex-valued Memristive BAM Neural Network and Applications in image encryption and decryption

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INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS 2020年第2期18卷 462-476页

作者： Guo, Yongzhen Luo, Yang Wang, Weiping Luo, Xiong Ge, Chao Kurths, Juergen Yuan, Manman Gao, Yang Beijing Inst Technol Beijing Peoples R China Software Testing Ctr Beijing Peoples R China USTB Sch Automat & Elect Engn Beijing 100083 Peoples R China USTB Sch Comp & Commun Engn Beijing 100083 Peoples R China Beijing Key Lab Knowledge Engn Mat Sci Beijing Peoples R China Humboldt Univ Inst Phys D-10099 Berlin Germany North China Univ Sci & Technol Inst Informat Engn Tangshan 063210 Peoples R China Humboldt Univ Inst Phys D-10099 Berlin Germany Potsdam Inst Climate Impact Res D-14473 Potsdam Germany China Informat Technol Secur Evaluat Ctr Beijing Peoples R China

This paper focuses on the dynamical characteristics of complex-valued memristor-based BAM neural network (CVMBAMNN) with leakage time-varying delay. With two different controllers, we have obtained fixedtime and finite-time synchronization criteria respectively in complex domain for our special model, which few work has studied before. Since fixed-time synchronous system can improve communication security, we designed a scheme for RGB image encryption and decryption. In order to satisfy the requirement of much lower error in image secure communication, our approach can get the error of fixed-time synchronization to about 1x10(-)13. Due to our highly consistent system, we do get good encryption and decryption effect with encryption and decryption scheme. Finally, numerical simulations are included to demonstrate the correctness of our theoretical results.

关键词： Chaotic character complex-valued MBAMNN fixed-time synchronization image encryption and decryption leakage time-varying delay

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image encryption and decryption Based on Chaotic Algorithm

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Journal of Applied Mathematics and Physics 2020年第9期8卷 1814-1825页

作者： Yue Hu Ruyue Tian School of Mathematics and Physics China University of Geosciences Wuhan China

This paper analyzes the problems in image encryption and decryption based on chaos theory. This article introduces the application of the two-stage Logistic algorithm in image encryption and decryption, then by information entropy analysis it is concluded that the security of this algorithm is higher compared with the original image;And a new image encryption and decryption algorithm based on the combination of two-stage Logistic mapping and M sequence is proposed. This new algorithm is very sensitive to keys;the key space is large and its security is higher than two-stage Logistic mapping of image encryption and decryption technology.

关键词： Chaos Algorithm image encryption and decryption Two-Stage Logistic Mapping M Sequence

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Fpga Implementation Of image encryption and decryption Using AES 128-Bit

Fpga Implementation Of Image Encryption And Decryption Using...

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International Conference on Communication and Electronics Systems (ICCES)

作者： Priyanka, M. P. Prasad, E. Lakshmi Reddy, A. R. MITS Dept ECE Madanapalle India JNTUA Dept ECE Anantapur Andhra Pradesh India MITS Dept ECE ECE Madanapalle India

ISBN: (纸本)9781509010660

AES is one of the standard algorithm and widely used to encrypt and decrypt the data. In this paper, image encryption and decryption algorithm implemented by using AES 128-bit core. Here, image information is converted into a hexadecimal format using Matlab code and this plain hexadecimal data are transmitted to the FPGA via UART for encryption. Thus, the same process is also used for decryption. The entire AES 128-bit core is simulated and synthesized for Spartan-3E-1600E FPGA using Xilinx ISE 14.3. Therefore, the experimental results are measured and compared with respect to area, power, and latency. The total amount of area occupied for encryption is 6% of slices, 2% of slice Flip flops, 5% of 4-input LUTS and 44% of BRAMS, latency for 128-bit is 6.645 ns and the amount of power consumption is 441.91 mW. Similarly, for the decryption amount of area occupied is 7% of slices, 2% of slice Flip flops, 7 % of 4-input LUTS and 55% of BRAMS, latency for 128-bit is 7.770 ns and the total amount of power consumption is 442 mW.

关键词： AES image encryption and decryption Block Cipher Cipher text Decipher text

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image encryption and decryption in Public Key Cryptography based on MR

Image Encryption and Decryption in Public Key Cryptography b...

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International Conference on Computing and Communications Technologies ((ICCCT)

作者： Amalarethinam, D. I. George Geetha, J. Sai Jamal Mohamed Coll Tiruchirappalli India Nehru Mem Coll Dept Comp Sci Puthanampatti Trichy India

ISBN: (纸本)9781479976232

In the past decade, image encryption is given much attention in research of information security and a lot of image encryption algorithms have been introduced. Due to some intrinsic features of images like bulk data capacity and high data redundancy, the encryption of image is different from that of text;therefore it is difficult to handle them by traditional encryption methods. In the proposed work, a new image encryption algorithm based on Magic Rectangle (MR) is being applied. To begin with, the plain-image is converted into blocks of single bytes and then the block is replaced as the value of MR. Further, the control parameters of Magic Rectangle (MR) are selected randomly by the user. Subsequently the image is being encrypted with public key cryptography algorithms such as RSA, ElGamal etc. The experimental result shows that the proposed algorithm can successfully encrypt/decrypt the images with separate secret keys, and the algorithm has good encryption effect. Cipher text developed by this method will be entirely different when compared to the original image file and will be suitable for the secured transmission over the internet. Thus, this model provides an additional level of security to public key algorithm and efficient utilization of memory.

关键词： Communication Security image encryption and decryption Public Key Cryptography Public key Secret key Magic Rectangle

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Synchronization of fractional-order quaternion-valued neural networks with image encryption via event-triggered impulsive control

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KNOWLEDGE-BASED SYSTEMS 2024年 296卷

作者： Zhang, Yanlin Yang, Liqiao Kou, Kit Ian Liu, Yang Univ Macau Fac Sci & Technol Dept Math Taipa 999078 Macao Peoples R China Southwestern Univ Finance & Econ Sch Comp & Artificial Intelligence Chengdu 611130 Peoples R China Zhejiang Normal Univ Coll Math & Comp Sci Jinhua 321004 Zhejiang Peoples R China

The finite-time synchronization and impulsive synchronization of fractional-order quaternion-valued neural networks (FOQVNNs) with delay are investigated in this research. To begin, instead of employing a decomposition method, a Lyapunov direct approach is proposed to achieve the finite-time synchronization of FOQVNNs using event-triggered control based on state errors. The settling time is then estimated using a unique fractional differential inequality. The event-triggered impulsive controller, which updates only during triggering instants, is proposed to be more inexpensive and efficient. Then, utilizing fractional Lyapunov theory and the comparison principle, several novel quaternion-valued linear matrix inequalities criteria are defined to assure the impulsive synchronization of the delayed FOQVNNs. Furthermore, the positive lower bound of the inter-event time is obtained to exclude the Zeno behavior. As proof of the feasibility and validity of these theoretical findings obtained, numerical examples are provided. At last, the use of the event-triggered control technique for FOQVNNs in image encryption and decryption is demonstrated and validated.

关键词： Finite-time synchronization Fractional-order quaternion-valued neural networks Event-triggered impulsive control Quaternion-valued linear matrix inequalities image encryption and decryption

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Design and simulation of secure fiber optic communication system utilizing hill cipher algorithm

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JOURNAL OF OPTICS-INDIA 2024年第2期53卷 1499-1507页

作者： Mohammed, Senaa H. Abass, A. K. Ali, M. H. Rashid, Fareed F. Al Iraqia Univ Coll Engn Comp Engn Dept Baghdad Iraq Univ Technol Baghdad Laser & Optoelect Dept Laser Engn Branch Baghdad Iraq Al Iraqia Univ Coll Engn Network Engn Dept Baghdad Iraq Al Farahidi Univ Med Tech Coll Med Instruments Tech Engn Dept Baghdad 10021 Iraq

The security is crucial in modern communications systems for preserving the transferred data. In this work, a secure fiber optic communication system utilizing Hill cipher algorithm is demonstrated and investigated via integrated the MATLAB with OptiSystem software. The MATLAB is used to encrypt and decrypt the data in electrical domain. While the OptiSystem software is used to build a fiber optic communication system with a bit rate of 80 Gbps over a 77.4 km link distance. According to the results, the link distance is degraded due to the ciphering process to 41 km. The link distance was increased to 178 km by combining a dispersion compensation fiber and an erbium-doped fiber to improve both of the dispersion and attenuation in the proposed system, respectively.

关键词： Hill cipher image encryption and decryption MATLAB-OptiSystem simulation program Optical fiber

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Secure information transmission using the fractional coupled Schrödinger model: a dynamical perspective

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OPTICAL AND QUANTUM ELECTRONICS 2023年第14期55卷 1-28页

作者： Ali, Asghar Javed, Sara Hussain, Rashida Muhammad, Taseer Mirpur Univ Sci & Technol MUST Dept Math Mirpur 10250 AJK Pakistan King Khalid Univ Coll Sci Dept Math Abha 61413 Saudi Arabia

In this work, the fractional coupled nonlinear Schrodinger model (FCNLSM) in optical fibre can exhibit chaotic dynamics with potential applications in cryptography and applied mathematics. This study investigates the dynamical properties of FCNLSM in optical fibre. The study depends on four steps. (1): The governing model is converted into an ordinary differential equation by employing a wave transformation. The soliton solutions not discussed in the literature are obtained by employing the new direct algebraic method. (2): The governing model is simplified into a dynamical system (DS). Through phase plane analysis, both perturbed and unperturbed behaviour of FCNLSM is observed. (3): The chaotic behaviour in the perturbed DS is characteristic and is harnessed for the design of an efficient encryption algorithm. The proposed encryption technique involves computing the hash digest of a plain image, which is then used to update the initial seed of the chaotic FCNLSM. The one-way function is employed to ensure the security of the encryption method. (4): The encryption and decryption coding is applied to confuse and diffuse the plain image, followed by decoding to generate the cypher image. The security performance of the proposed cryptosystem is evaluated using established metrics, demonstrating its resilience against various cryptanalysis techniques. Moreover, complexity analysis indicates the feasibility of practical implementation for the proposed algorithm.

关键词： Fractional coupled nonlinear Schrodinger model The new direct algebraic method Soliton solutions Phase plane analysis image encryption and decryption

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Design and performance analysis of secure optical communication system by implementing blowfish cipher algorithm

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RESULTS IN OPTICS 2024年 16卷

作者： Hussien, Reem A. Radhi, Safa Salam Rashid, Fareed F. Abdulla, Essam N. Abass, A. K. Univ Technol Iraq Laser & Optoelect Dept Laser Engn Branch Baghdad Iraq Al Farahidi Univ Iraq Med Tech Coll Med Instruments Tech Engn Dept Baghdad 10021 Iraq

With the increasing demand for image transmission in various fields including medical, military and multimedia, the security of information contained on these images has become a standing problem.. This work provides information security for images transfer for 160 Gbps over 140 km optical fiber link. image encryption and decryption is maintained by applying blowfish algorithm via MATLAB software with the adaption of OptiSystem software to examine data transmission over 16 channels WDM system.. The proposed algorithm has provide a large key space, resistivity to differential attacks, anti-differential attack, brute-force attack and less correlation between adjacent pixels However, channel dispersion and signal attenuation has been controlled with the adaption of symmetric dispersion compensation map and an erbium doped fiber amplifier (EDFA) at the end of the fiber link. Our WDM system design has reached a high figure of merit of about 22,400 as compared with different previous schemes. Moreover, to provoke the power of the proposed cipher algorithm, key space, correlations, histogram analysis and different security analysis has been studied and compared with other algorithms.

关键词： Wavelength Division Multiplexed (WDM) Blowfish Optical fiber Security image encryption and decryption MATLAB-OptiSystem simulation program

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