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Cross-Domain Bilateral Access Control on Blockchain-Cloud Based Data Trading System

Computer Modeling in Engineering & Sciences 2024年第10期141卷 671-688页

作者： Youngho Park Su Jin Shin Sang Uk Shin Electronics and Information Communications Research Center Pukyong National UniversityBusan48513Republic of Korea department of Information security Graduate SchoolPukyong National UniversityBusan48513Republic of Korea Division of Computer Engineering Pukyong National UniversityBusan48513Republic of Korea

Data trading enables data owners and data requesters to sell and purchase *** the emergence of blockchain technology,research on blockchain-based data trading systems is receiving a lot of ***,to reduce the on-chain storage cost,a novel paradigm of blockchain and cloud fusion has been widely considered as a promising data trading ***,the fact that data can be used for commercial purposes will encourage users and organizations from various fields to participate in the data *** the data marketplace,it is a challenge how to trade the data securely outsourced to the external cloud in a way that restricts access to the data only to authorized users across multiple *** this paper,we propose a cross-domain bilateral access control protocol for blockchain-cloud based data trading *** consider a system model that consists of domain authorities,data senders,data receivers,a blockchain layer,and a cloud *** proposed protocol enables access control and source identification of the outsourced data by leveraging identity-based cryptographic *** the proposed protocol,the outsourced data of the sender is encrypted under the target receiver’s identity,and the cloud provider performs policy-match verification on the authorization tags of the sender and receiver generated by the identity-based signature ***,data trading can be achieved only if the identities of the data sender and receiver simultaneously meet the policies specified by each *** demonstrate efficiency,we evaluate the performance of the proposed protocol and compare it with existing studies.

关键词： Bilateral access control blockchain data sharing policy-match

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A Comprehensive Survey on Federated Learning in the Healthcare Area: Concept and Applications

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2239-2274页

作者： Deepak Upreti Eunmok Yang Hyunil Kim Changho Seo department of Convergence Science Kongju National UniversityChungcheongnam-doGongju-si32588South Korea department of Information security Cryptologyand MathematicsKookmin UniversitySeoul02707South Korea department of Information and Communication Engineering Chosun UniversityGwangju61452South Korea Basic Science Research Institution Kongju National UniversityChungcheongnam-doGongju-si32588South Korea

Federated learning is an innovative machine learning technique that deals with centralized data storage issues while maintaining privacy and *** involves constructing machine learning models using datasets spread across several data centers,including medical facilities,clinical research facilities,Internet of Things devices,and even mobile *** main goal of federated learning is to improve robust models that benefit from the collective knowledge of these disparate datasets without centralizing sensitive information,reducing the risk of data loss,privacy breaches,or data *** application of federated learning in the healthcare industry holds significant promise due to the wealth of data generated from various sources,such as patient records,medical imaging,wearable devices,and clinical research *** research conducts a systematic evaluation and highlights essential issues for the selection and implementation of federated learning approaches in *** evaluates the effectiveness of federated learning strategies in the field of *** offers a systematic analysis of federated learning in the healthcare domain,encompassing the evaluation metrics *** addition,this study highlights the increasing interest in federated learning applications in healthcare among scholars and provides foundations for further studies.

关键词： Federated learning artificial intelligence machine learning privacy healthcare

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MarkINeRV: A Robust Watermarking Scheme for Neural Representation for Videos Based on Invertible Neural Networks

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Computers, Materials & Continua 2024年第9期80卷 4031-4046页

作者： Wenquan Sun Jia Liu Lifeng Chen Weina Dong Fuqiang Di department of Cryptographic Engineering Engineering University of PAPXi’an710086China department of Cryptographic Engineering Key Laboratory for Cryptology and Information SecurityXi’an710086China

Recent research advances in implicit neural representation have shown that a wide range of video data distributions are achieved by sharing model weights for Neural Representation for Videos(NeRV).While explicit methods exist for accurately embedding ownership or copyright information in video data,the nascent NeRV framework has yet to address this issue *** response,this paper introduces MarkINeRV,a scheme designed to embed watermarking information into video frames using an invertible neural network watermarking approach to protect the copyright of NeRV,which models the embedding and extraction of watermarks as a pair of inverse processes of a reversible network and employs the same network to achieve embedding and extraction of *** is just that the information flow is in the opposite ***,a video frame quality enhancement module is incorporated to mitigate watermarking information losses in the rendering process and the possibility ofmalicious attacks during transmission,ensuring the accurate extraction of watermarking information through the invertible network’s inverse *** paper evaluates the accuracy,robustness,and invisibility of MarkINeRV through multiple video *** results demonstrate its efficacy in extracting watermarking information for copyright protection of *** represents a pioneering investigation into copyright issues surrounding NeRV.

关键词： Invertible neural network neural representations for videos watermarking robustness

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Test and damage assessment of shallow buried RC tunnel under explosion

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Underground Space 2024年第1期14卷 118-137页

作者： Longyun Zhou Xiaojun Li Qiushi Yan Shutao Li Song Chang Pengcheng Ren Beijing University of Technology Beijing 100124China Key Laboratory of Urban security and Disaster Engineering of Ministry of Education Beijing 100124China department of Civil Engineering Tsinghua UniversityBeijing 100084China Research Institute for national Defense Engineering of AMS PLABeijing 100036China

As a major element of the transportation network,tunnels are unavoidably threatened by accidental loads such as vehicle bombs and tank truck *** goal of this research is to explore the dynamic characteristics and damage assessment of tunnel structures under contact blast ***,three scaled-down reinforced concrete tunnel models were made,and the explosion test and static loading test were carried out successively to evaluate the axial residual bearing capacity,axial displacement and failure mechanism of the ***,the finite element model is built by utilizing LS-DYNA,and the reliability of the finite element method is confirmed by comparing the data of the explosion test with the static loading *** the same time,the calculation method for damage coefficient and the classification criteria for damage grade based on axial residual bearing capacity are ***,based on the finite element method,the propagation process of the explosion shock wave in the tunnel and the damage mechanism of the tunnel are ***,seven explosion scenarios are developed,the damage degree of these seven tunnels under the blast load is quantitatively analyzed,and further anti-blast design ideas are put *** study in this article may give an intended reference for the damage assessment,anti-explosion design and strengthening work of reinforced concrete tunnels.

关键词： Shallow buried tunnel Blast location Blast resistance Axial residual bearing capacity Damage assessment

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RWNeRF:Robust Watermarking Scheme for Neural Radiance Fields Based on Invertible Neural Networks

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Computers, Materials & Continua 2024年第9期80卷 4065-4083页

作者： Wenquan Sun Jia Liu Weina Dong Lifeng Chen Fuqiang Di department of Cryptographic Engineering Engineering University of PAPXi’an710086China department of Cryptographic Engineering Key Laboratory of PAP for Cryptology and Information SecurityXi’an710086China

As neural radiance fields continue to advance in 3D content representation,the copyright issues surrounding 3D models oriented towards implicit representation become increasingly *** response to this challenge,this paper treats the embedding and extraction of neural radiance field watermarks as inverse problems of image transformations and proposes a scheme for protecting neural radiance field copyrights using invertible neural network *** 2D image watermarking technology for 3D scene protection,the scheme embeds watermarks within the training images of neural radiance fields through the forward process in invertible neural networks and extracts them from images rendered by neural radiance fields through the reverse process,thereby ensuring copyright protection for both the neural radiance fields and associated 3D ***,challenges such as information loss during rendering processes and deliberate tampering necessitate the design of an image quality enhancement module to increase the scheme’s *** module restores distorted images through neural network processing before watermark ***,embedding watermarks in each training image enables watermark information extraction from multiple *** proposed watermarking method achieves a PSNR(Peak Signal-to-Noise Ratio)value exceeding 37 dB for images containing watermarks and 22 dB for recovered watermarked images,as evaluated on the Lego,Hotdog,and Chair datasets,*** results demonstrate the efficacy of our scheme in enhancing copyright protection.

关键词： Neural radiance fields 3D scene robust watermarking invertible neural networks

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Tuning Second Chern Number in a Four-Dimensional Topological Insulator by High-Frequency Time-Periodic Driving

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Chinese Physics Letters 2024年第4期41卷 77-89页

作者：刘峥嵘陈锐周斌 department of Physics Hubei UniversityWuhan 430062China Key Laboratory of Intelligent Sensing System and security of Ministry of Education Hubei UniversityWuhan 430062China

Floquet engineering has attracted considerable attention as a promising approach for tuning topological phase *** investigate the effects of high-frequency time-periodic driving in a four-dimensional(4D)topological insulator,focusing on topological phase transitions at the off-resonant quasienergy *** 4D topological insulator hosts gapless three-dimensional boundary states,characterized by the second Chern number C_(2).We demonstrate that the second Chern number of 4D topological insulators can be modulated by tuning the amplitude of time-periodic *** includes transitions from a topological phase with C_(2)=±3 to another topological phase with C_(2)=±1,or to a topological phase with an even second Chern number C_(2)=±2,which is absent in the 4D static ***,the approximation theory in the high-frequency limit further confirms the numerical conclusions.

关键词： topological transitions Periodic

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Seismic and vibration control of segmented isolation layer in underground structure-diaphragm wall system

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Underground Space 2024年第6期19卷 72-86页

作者： Zhidong Gao Mingbo Li Mi Zhao Xiuli Du Key Laboratory of Urban security and Disaster Engineering of Ministry of Education Beijing University of TechnologyBeijing 100124China department of Hydraulic Engineering Tsinghua UniversityBeijing 100084China

In this paper,a seismic and vibration reduction measure of subway station is developed by setting a segmented isolation layer between the sidewall of structure and the diaphragm *** segmented isolation layer consists of a rigid layer and a flexible *** rigid layer is installed at the joint section between the structural sidewall and slab,and the flexible layer is installed at the remaining sections.A diaphragm wall-segmented isolation layer-subway station structure system is *** and vibration control performance of the diaphragm wall-segmented isolation layer-subway station structure system is evaluated by the detailed numerical ***,a three-dimensional nonlinear time-history analysis is carried out to study the seismic response of the station structure by considering the effect of different earthquake motions and stiffness of segmented isolation ***,the vibration response of site under training loading is also studied by considering the influence of different train velocities and stiffness of the segmented isolation *** results demonstrate that the diaphragm wall-segmented isolation layer-subway station structure system can not only effectively reduce the lateral deformation of station structure,but also reduce the tensile damage of the roof *** the other hand,the developed reduction measure can also significantly reduce the vertical peak displacements of site under training loading.

关键词： Subway station Diaphragm wall Segmented isolation layer Seismic response Train vibration

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Numerical analysis on seismic response and failure mechanism of articulated pile−structure system in a liquefiable site from shaking-table experiments

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Frontiers of Structural and Civil Engineering 2024年第7期18卷 1117-1133页

作者： Pengfei DOU Hao LIU Chengshun XU Jinting WANG Yilong SUN Xiuli DU department of Hydraulic Engineering Tsinghua UniversityBeijing 100084China Key Laboratory of Urban security and Disaster Engineering of the Ministry of Education Beijing University of TechnologyBeijing 100124China

This study investigates the seismic response and failure mode of a pile-structure system in a liquefiable site by employing a numerical simulation model combined with the shaking-table results of a soil-pile-structure dynamic *** pile and soil responses obtained from the numerical simulations agreed well with the experimental *** slopes of the dynamic shear-stress-shear-strain hysteretic curves at different positions also exhibited a decreasing trend,indicating that the shear strength of the soil in all parts of the foundation *** peak acceleration of the soil and pile was not clearly amplified in the saturated sand layer but appeared to be amplified in the top *** maximum bending moments appeared in the middle and lower parts of the pile shaft;however,the shear forces at the corresponding positions were not *** can be observed from the deformation mode of the pile-group foundation that a typical bending failure is caused by an excessive bending moment in the middle of the pile shaft if the link between the pile top and cap is articulated,and sufficient attention should be paid to the bending failure in the middle of the pile shaft.

关键词： numerical simulation soil liquefaction pile foundation shaking-table experiment seismic responses failure model

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A Trust Evaluation Mechanism Based on Autoencoder Clustering Algorithm for Edge Device Access of IoT

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Computers, Materials & Continua 2024年第2期78卷 1881-1895页

作者： Xiao Feng Zheng Yuan Cyber security Academy Beijing University of Posts and TelecommunicationsBeijing100876China department of Cyberspace security Beijing Electronic Science and Technology InstituteBeijing100070China State Grid Info-Telecom Great Power Science and Technology Co. Ltd.Beijing102211China

First,we propose a cross-domain authentication architecture based on trust evaluation mechanism,including registration,certificate issuance,and cross-domain authentication processes.A direct trust evaluation mechanism based on the time decay factor is proposed,taking into account the influence of historical interaction *** weight the time attenuation factor to each historical interaction record for updating and got the new historical record *** refer to the beta distribution to enhance the flexibility and adaptability of the direct trust assessment model to better capture time trends in the historical *** we propose an autoencoder-based trust clustering *** perform feature extraction based on *** leibler(KL)divergence is used to calculate the reconstruction *** constructing a convolutional autoencoder,we introduce convolutional neural networks to improve training efficiency and introduce sparse constraints into the hidden layer of the *** sparse penalty term in the loss function measures the difference through the KL *** clustering is performed based on the density based spatial clustering of applications with noise(DBSCAN)clustering *** the clustering process,edge nodes have a variety of trustworthy attribute *** assign different attribute weights according to the relative importance of each attribute in the clustering process,and a larger weight means that the attribute occupies a greater weight in the calculation of ***,we introduced adaptive weights to calculate comprehensive trust *** experiments prove that our trust evaluation mechanism has excellent reliability and accuracy.

关键词： Cross-domain authentication trust evaluation autoencoder

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Differentially Private Support Vector Machines with Knowledge Aggregation

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Computers, Materials & Continua 2024年第3期78卷 3891-3907页

作者： Teng Wang Yao Zhang Jiangguo Liang Shuai Wang Shuanggen Liu School of Cyberspace security Xi’an University of Posts and TelecommunicationsXi’an710121China

With the widespread data collection and processing,privacy-preserving machine learning has become increasingly important in addressing privacy risks related to *** vector machine(SVM)is one of the most elementary learning models of machine *** issues surrounding SVM classifier training have attracted increasing *** this paper,we investigate Differential Privacy-compliant Federated Machine Learning with Dimensionality Reduction,called FedDPDR-DPML,which greatly improves data utility while providing strong privacy *** in distributed learning scenarios,multiple participants usually hold unbalanced or small amounts of ***,FedDPDR-DPML enables multiple participants to collaboratively learn a global model based on weighted model averaging and knowledge aggregation and then the server distributes the global model to each participant to improve local data *** at high-dimensional data,we adopt differential privacy in both the principal component analysis(PCA)-based dimensionality reduction phase and SVM classifiers training phase,which improves model accuracy while achieving strict differential privacy ***,we train Differential privacy(DP)-compliant SVM classifiers by adding noise to the objective function itself,thus leading to better data *** experiments on three high-dimensional datasets demonstrate that FedDPDR-DPML can achieve high accuracy while ensuring strong privacy protection.

关键词： Differential privacy support vector machine knowledge aggregation data utility

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