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Joint Watermarking and Encryption for Social Image Sharing

computers, Materials & Continua 2025年第5期83卷 2927-2946页

作者： Conghuan Ye Shenglong Tan Shi Li Jun Wang Qiankun Zuo Bing Xiong School of Information Engineering Hubei University of EconomicsWuhan430205China School of Computer and Communication Engineering Changsha University of Science&TechnologyChangsha410114China

With the fast development of multimedia social platforms,content dissemination on social media platforms is becomingmore *** image sharing can also raise privacy *** encryption can protect social ***,most existing image protection methods cannot be applied to multimedia social platforms because of encryption in the spatial *** this work,the authors propose a secure social image-sharing method with watermarking/fingerprinting and ***,the fingerprint code with a hierarchical community structure is designed based on social network ***,discrete wavelet transform(DWT)from block discrete cosine transform(DCT)directly is *** that,all codeword segments are embedded into the LL,LH,and HL subbands,*** selected subbands are confused based on Game of Life(GoL),and then all subbands are diffused with singular value decomposition(SVD).Experimental results and security analysis demonstrate the security,invisibility,and robustness of our ***,the superiority of the technique is elaborated through comparison with some related image security *** solution not only performs the fast transformation from block DCT to one-level DWT but also protects users’privacy in multimedia social *** the proposed method,JPEG image secure sharing in multimedia social platforms can be ensured.

关键词： Multimedia security digital watermarking image encryption image sharing privacy protection

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Cryptanalysis in e-commerce: A novel arrangement procedure using DHEC-SAT upon elliptic curve cryptography

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Multimedia Tools and Applications 2025年第8期84卷 5377-5395页

作者： Fauziyah Wang, Zhaoshun School of Computer and Communication Engineering University of Science and Technology Beijing 30 Xueyuan Road Haidian District Beijing China

Cryptanalytic innovations are considered the most economical and useful method for guaranteeing information security across shared networks. Despite the tinier key magnitude of Elliptic Curve Cryptography (ECC) compared to common cryptanalysis schemes, the majority of scholars have employed cryptanalysis methods to deliver data reliability and verification. Besides, the computation attempt needed by Diffie Hellman-Elliptic Curve (DH-EC) for equal key dimensions is similar and delivers extra security advantages. The research offers a novel key arrangement procedure using DH-EC in the secure automatic transactions (SAT) setting (DHEC-SAT) to enhance data safety. The DHEC-SAT procedure effectively applied the keys in the SAT setting for online payment and was employed to decode and encode the validation data. The DHEC-SAT procedure is implemented for an entry of e-commerce payments to deliver great-degree security examination, fast verification, and the safety of the suggested Cryptanalytic scheme. The suggested DHEC-SAT generates highly secure systems regarding data size (168 bytes), computational period (4.34 ms), and communication costs (1271 bits), as contrasted to extant ECC procedures and PIN-enabled key arrangements. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Electronic commerce

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A Decoupling-Type Strategy for the Allen-Cahn Equation on Curved Surfaces

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Journal of Mathematical Research with Applications 2025年第1期45卷 73-83页

作者： Xiaoman XIE Qing PAN School of Computer and Communication Engineering Changsha University of Science & Technology

In this paper, we construct an efficient decoupling-type strategy for solving the Allen-Cahn equation on curved surfaces. It is based on an FEM-EIEQ(Finite Element Method and explicit-Invariant Energy Quadratization) fully discrete scheme with unconditional energy stability. Spatially the FEM is adopted, using a triangular mesh discretization strategy that can be adapted to complex regions. Temporally, the EIEQ approach is considered, which not only linearizes the nonlinear potential but also gives a new variable that we combine with the nonlocal splitting method to achieve the fully decoupled computation. The strategy can successfully transform the Allen-Cahn system into some completely independent algebraic equations and linear elliptic equations with constant coefficients, we only need to solve these simple equations at each time step. Moreover, we conducted some numerical experiments to demonstrate the effectiveness of the strategy.

关键词： FEM-EIEQ Allen-Cahn equation surface

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Uplink MIMO communications with RIS-Integrated Base Station: Modeling and Experiments

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IEEE Internet of Things Journal 2025年第10期12卷 14150-14171页

作者： Park, Je Hyeon Kim, Su Hyun Amri, Muhammad Miftahul Tran, Nguyen Minh Kim, Dong In Choi, Kae Won School of Information and Communication Engineering Department of Electrical and Computer Engineering Suwon16419 Korea Republic of Department of Wireless Communications Hanoi Viet Nam

Reconfigurable intelligent surface (RIS) has gained significant momentum as a cost-effective and energy-efficient technology to enable the next generation of mobile communications. In this paper, we propose an RIS-integrated base station (BS) by deploying an RIS sufficiently close to the base station antennas (BAs), within its radiative near-field range. In the proposed RIS-integrated BS system, we utilize RIS as a passive array to reconfigure incoming signals from UEs without experiencing substantial path loss. The near-field channel model between the RIS and BAs is analyzed and applied to the RIS beam control model. Furthermore, we develop a practical algorithm to maximize the performance of the proposed RIS-integrated BS-based uplink multiple-input-multiple-output (MIMO) system with the aim of maintaining reasonable complexity. This goal is achieved by combining the two proposed algorithms, beam search and path-antenna pairing algorithms. The beam search algorithm identifies the radio paths of all UEs to the RIS by sweeping the beams of the RIS. Then the path-antenna pairing algorithm allocates the strongest radio path between each UE and the RIS to one of the BAs by controlling an RIS beam to direct the signal from that path to the BA. Finally, we have built a real-time testbed to experiment with the proposed RIS-integrated BS-based uplink MIMO system. Numerical results, including experimental data, validate the effectiveness of the proposed RIS-integrated BS-based uplink MIMO system. © 2025 IEEE.

关键词： Mobile telecommunication systems

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Hardware-friendly rate estimation algorithm and architecture design for AVS3

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Multimedia Tools and Applications 2025年 1-19页

作者： Yan, Yunyao Xiang, Guoqing Chen, Jie Huang, Xiaofeng Zhang, Peng Jia, Huizhu Xie, Xiaodong School of Electronic and Computer Engineering Peking University Shenzhen China School of Computer Science Peking University Beijing China Advanced Institute of Information Technology Peking University Hangzhou China School of Communication Engineering Hangzhou Dianzi University Hangzhou China

To enhance the capabilities of advanced video coding for emerging applications, the AVS3 standard has been introduced to double the coding efficiency compared to its predecessor, the AVS2 standard. It incorporates sophisticated coding tools, such as advanced rate-distortion optimization (RDO), to select the optimal coding mode. The AVS3 standard further refines bit rate compression through Advanced Entropy Coding (AEC) within the RDO process. However, AEC demands significant computational resources due to its high data dependency and involves complex steps like binarization, context modeling, interval subdivision, renormalization, handling of outstanding bits, and context updating. Notably, the time complexity of AEC is predominantly due to context updating and interval subdivision, which are recursive and thus pose challenges for real-time applications, particularly in hardware implementations. Addressing these challenges, this paper introduces an adaptive rate estimation algorithm using a hardware-friendly piece-wise linear function to expedite bit rate calculations for AVS3 applications. Initially, we develop a linear rate estimation method based on the statistics of bin numbers. To preserve high coding performance, we further propose an adaptive model parameter updating method that adjusts weights dynamically based on varying video content. Building on this fast rate estimation algorithm, we propose a high-throughput hardware architecture that incorporates pipelining and parallelization to meet the stringent real-time requirements for 4K@120fps ultra-high-definition video at 200 MHz, with only a minimal increase in BD-rate by 1.06% under the All-Intra (AI) configuration. To our knowledge, this is the pioneering study focusing on hardware-oriented rate estimation for the AVS3 standard, marking a significant advancement in the field of video coding technology. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature

关键词： Video signal processing

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Exploring Dynamics and Hardware Implementation of an Enhanced 5D Hyperchaotic Memristive System Inspired by Sprott-C System

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Complex System Modeling and Simulation 2025年第1期5卷 34-45页

作者： Mokbel, Abdulmajeed Abdullah Mohammed Yu, Fei Gracia, Yumba Musoya Tan, Bohong Lin, Hairong Iu, Herbert Ho-Ching School of Computer and Communication Engineering Changsha University of Science and Technology Changsha410114 China School of Electronic Information Central South University Changsha410083 China School of Electrical Electronic and Computer Engineering University of Western Australia Perth6009 Australia

This paper proposes a novel 5D hyperchaotic memristive system based on the Sprott-C system configuration, which greatly improves the complexity of the system to be used for secure communication and signal processing. A critical aspect of this research work is the introduction of a flux-controlled memristor that exhibits chaotic behavior and dynamic responses of the system. To this respect, detailed mathematical modeling and numerical simulations about the stability of the system's equilibria, bifurcations, and hyperchaotic dynamics were conducted and showed a very wide variety of behaviors of great potential in cryptographic applications and secure data transmission. Then, the flexibility and efficiency of the real-time operating environment were demonstrated, and the system was actually implemented on a field-programmable gate array (FPGA) hardware platform. A prototype that confirms the theoretical framework was presented, providing new insights for chaotic systems with practical significance. Finally, we conducted National Institute of Standards and Technology (NIST) testing on the proposed 5D hyperchaotic memristive system, and the results showed that the system has good randomness. © 2021 TUP.

关键词： Digital storage

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Interpreting Convolutional Neural Network Decision via Pixel-Wise Interaction Hierarchy Graph 27th

Interpreting Convolutional Neural Network Decision via Pixe...

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27th International Conference on Pattern Recognition, ICPR 2024

作者： Cheng, Keyang Zhou, Hao Wan, Hao School of Computer Science and Communication Engineering Jiangsu University Zhenjiang China

ISBN: (纸本)9783031781827

Although deep neural networks exhibiting superior performance across numerous tasks, their application in high-risk domains is limited by a lack of interpretability and trustworthiness. In this paper, an interaction value calculation method is firstly proposed, which faithfully represents the interaction utility of each variable in the feature map. Secondly, an interpretable method for top-down construction of interaction hierarchy graph based on interaction utility is proposed to understand the visualized knowledge represented by filters and to elucidate the decision-making process of the network. Extensive experiments were carried out on publicly available datasets and models that had been pre-trained. Experimental results indicate that each node in the graph consistently corresponds to the same part of an object across various images belonging to the same category. The faithfulness evaluation shows that the filters involved in the graph nodes have a major role in the network. Furthermore, the quantitative evaluation shows that our method improves over the others by an average of 0.18%, 1.19%, and 2.18% on the EBPG, mIoU, and Bbox metrics, respectively. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Convolutional neural networks

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Research on Clothing Recommendation Technology Integrating Multimodal Data 24

Research on Clothing Recommendation Technology Integrating M...

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2nd International Conference on Artificial Intelligence, Systems and Network Security, AISNS 2024

作者： Lin, Rong He, Yi Tang, Jiale Tang, Zhihang School of Computer and Communication Hunan Institute of Engineering Hunan Xiangtan China

ISBN: (纸本)9798400711237

Due to the rapid increase in the volume of text data, traditional recommendation systems that rely solely on textual information are struggling to keep up with the evolving fashion trends and the personalized needs of users. In today’s age of information overload, users are no longer satisfied with simple text descriptions when making clothing choices. They seek a comprehensive evaluation of information through various means such as text descriptions, images, and user comments. This paper introduces a clothing recommendation algorithm that utilizes a multimodal data mining technique, integrating it with a multi-vector semantic segmentation method for a clothing product recommendation system. By conducting in-depth multimodal data analysis and introducing topic words, the algorithm generates personalized recommendations that align with users’ needs. The experimental results demonstrate the algorithm’s effectiveness in reducing confusion between different topics. With the LOP parameter set to 20, the Precision and MAP values of the model proposed in this paper are better than the comparison model. This algorithm can effectively mine potential information within multimodal data, identify users’ potential points of interest, and accurately predict user preferences, boosting merchandise sales and user growth on the apparel e-commerce platform. © 2024 Copyright held by the owner/author(s).

关键词： Semantic Segmentation

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Network Traffic Matrix Estimation Based on Link Loads Sampling

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IEEE Transactions on Network Science and engineering 2025年第3期12卷 1524-1539页

作者： Sun, Wenyue Chen, Qian Song, Xuehua Bertino, Elisa Wang, Changda Jiangsu University School of Computer Science and Communication Engineering Zhenjiang212013 China Yangzhou Polytechnic College School of Information Engineering Yangzhou225009 China Purdue University Department of Computer Science West LafayetteIN47907 United States

Traffic Matrix (TM) represents traffic between all Origin-Destination (OD) node pairs in a network, playing a crucial role in network management. While the methods for TM acquisition typically require scaling each link load in a network, measurement costs arise drastically as the number of links grows exponentially with the number of nodes. To address this issue while achieving TM with acceptable accuracy aligned with various network management requirements, the paper proposes two novel methods. The first is the ME-TMEIM (TM Estimation with Incomplete Measurement Based on Maximum Entropy) method, an efficient approach with yet acceptable accuracy. The second is the D-TMEIM (Dynamic TMEIM) method. Compared to the ME-TMEIM method, the D-TMEIM method trades the TM's acquisition accuracy for efficiency. It adds temporal constraints on network traffic to improve the precision of the obtained missing link loads, based on which the TM is generated using the CS-OMP (Compressed Sensing-Orthogonal Matching Pursuit) algorithm. Experimental results using publicly available Abilene and GÉANT networks demonstrate that the proposed methods not only enhance TM acquisition efficiency but also maintain nearly the same accuracy as the known methods that acquire TM through exhaustive links measurement. © 2013 IEEE.

关键词： Efficiency

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Optimizing Stand-Alone PV Systems:A Metaheuristic-Enhanced Fuzzy Approach for Adaptive MPPT

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China communications 2025年第1期22卷 61-74页

作者： Tina Samavat Mostafa Nazari Lin Fuhong Lei Yang Department of Computer Science and Engineering University of NevadaRenoNVUSA Faculty of Mechanical Engineering Shahrood University of TechnologyShahroodIran School of Computer and Communication Engineering University of Science and Technology BeijingBeijing 100083China

This paper introduces a simple yet effective approach for developing fuzzy logic controllers(FLCs)to identify the maximum power point(MPP)and optimize the photovoltaic(PV)system to extract the maximum power in different environmental *** propose a robust FLC with low computational complexity by reducing the number of membership functions and *** optimize the performance of the FLC,metaheuristic algorithms are employed to determine the parameters of the *** evaluate the proposed FLC in various panel configurations under different environmental *** results indicate that the proposed FLC can easily adapt to various panel configurations and perform better than other benchmarks in terms of enhanced stability,responsiveness,and power transfer under various scenarios.

关键词： genetic algorithm imperialist competitive algorithm invasive weed algorithm maximum power point tracking

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