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Multi-Source Data Privacy Protection Method Based on Homomorphic Encryption and Blockchain

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Computer Modeling in Engineering & Sciences 2023年第7期136卷 861-881页

作者： Ze Xu Sanxing Cao State Key Laboratory of Media Convergence and Communication Communication University of ChinaBeijing100024China

Multi-Source data plays an important role in the evolution of media *** fusion processing enables the further mining of data and utilization of data value and broadens the path for the sharing and dissemination of media ***,it also faces serious problems in terms of protecting user and data *** privacy protectionmethods have been proposed to solve the problemof privacy leakage during the process of data sharing,but they suffer fromtwo flaws:1)the lack of algorithmic frameworks for specific scenarios such as dynamic datasets in the media domain;2)the inability to solve the problem of the high computational complexity of ciphertext in multi-source data privacy protection,resulting in long encryption and decryption *** this paper,we propose a multi-source data privacy protection method based on homomorphic encryption and blockchain technology,which solves the privacy protection problem ofmulti-source heterogeneous data in the dissemination ofmedia and reduces ciphertext processing *** deployed the proposedmethod on theHyperledger platformfor testing and compared it with the privacy protection schemes based on k-anonymity and differential *** experimental results showthat the key generation,encryption,and decryption times of the proposedmethod are lower than those in data privacy protection methods based on k-anonymity technology and differential privacy *** significantly reduces the processing time ofmulti-source data,which gives it potential for use in many applications.

关键词： Homomorphic encryption blockchain technology multi-source data data privacy protection privacy data processing

Research on image sentiment analysis technology based on sparse representation

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CAAI Transactions on Intelligence Technology 2022年第3期7卷 354-368页

作者： Xiaofang Jin Yinan Wu Ying Xu Chang Sun College of Information and Communication Engineering Communication University of ChinaBeijingChina Academy of Broadcasting Science BeijingChina

Many methods based on deep learning have achieved amazing results in image sentiment ***,these existing methods usually pursue high accuracy,ignoring the effect on model training *** that when faced with large-scale sentiment analysis tasks,the high accuracy rate often requires long experimental *** view of the weakness,a method that can greatly improve experimental efficiency with only small fluctuations in model accuracy is proposed,and singular value decomposition(SVD)is used to find the sparse feature of the image,which are sparse vectors with strong discriminativeness and effectively reduce redundant information;The authors propose the Fast Dictionary Learning algorithm(FDL),which can combine neural network with sparse *** method is based on K-Singular Value Decomposition,and through iteration,it can effectively reduce the calculation time and greatly improve the training efficiency in the case of small fluctuation of ***,the effectiveness of the proposed method is evaluated on the FER2013 *** adding singular value decomposition,the accuracy of the test suite increased by 0.53%,and the total experiment time was shortened by 8.2%;Fast Dictionary Learning shortened the total experiment time by 36.3%.

关键词： FDL image sentiment analysis model efficiency sparse representation SVD

Syntax-Based Aspect Sentiment Quad Prediction by Dual Modules Neural Network for Chinese Comments

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Computers, Materials & Continua 2023年第5期75卷 2873-2888页

作者： Zhaoliang Wu Shanyu Tang Xiaoli Feng Jiajun Zou Fulian Yin College of Information and Communication Engineering Communication University of ChinaDingfuzhuang East Street No.1Beijing100024China Cybersecurity and Criminology Centre University of West LondonSt.Mary’s RoadLondon W55RFLondonUK Department of Electronic Engineering Tsinghua UniversityShuangqing Road No.30Beijing100084China The State Key Laboratory of Media Convergence and Communication Communication University of ChinaDingfuzhuang East Street No.1Beijing100024China

Aspect-Based Sentiment Analysis(ABSA)is one of the essential research in the field of Natural Language Processing(NLP),of which Aspect Sentiment Quad Prediction(ASQP)is a novel and complete *** aims to accurately recognize the sentiment quad in the target sentence,which includes the aspect term,the aspect category,the corresponding opinion term,and the sentiment polarity of ***,existing approaches lack knowledge of the sentence’s syntax,so despite recent innovations in ASQP,it is poor for complex cyber comment ***,most research has focused on processing English text,and ASQP for Chinese text is almost *** usage is more casual than English,and individual characters contain more *** propose a novel syntactically enhanced neural network framework inspired by syntax knowledge enhancement strategies in other NLP *** this framework,part of speech(POS)and dependency trees are input to the model as auxiliary information to strengthen its cognition of Chinese text ***,we design a relation extraction module,which provides a bridge for the overall extraction of the framework.A comparison of the designed experiments reveals that our proposed strategy outperforms the previous studies on the key metric *** experiments demonstrate that the auxiliary information added to the framework improves the final performance in different ways.

关键词： ABSA ASQP sentiment analysis Chinese comments

Two-phase real-time rendering method for realistic water refraction

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Virtual Reality & Intelligent Hardware 2020年第2期2卷 132-141页

作者： Hongli LIU Honglei HAN Guangzheng FEI School of Animation and Digital Arts Communication University of ChinaChaoyang DistrictBeijing 100024China

Background Realistic rendering has been an important g oal of several interactive applications,which requires an efficient virtual simulation of many special effects that are common in the real ***,refraction is often ignored in these *** the refraction effect is extremely complicated and *** In this study,a simple,efficient,and fast rendering technique of water refraction effects is *** technique comprises a broad and narrow *** the broad phase,the water surface is considered *** vertices of underwater meshes are transformed based on Snell's *** the narrow phase,the effects of waves on the water surface are *** pixel on the water surface mesh is collected by a screen-space method with an extra rendering *** broad phase redirects most pixels that need to be recalculated in the narrow phase to the pixels in the rendering *** We analyzed the performances of three different conventional methods and ours in rendering refraction effects for the same *** proposed method obtains higher frame rate and physical accuracy comparing with other *** is used in several game scenes,and realistic water refraction effects can be generated *** The two-phase water refraction method produces a tradeoff between efficiency and *** is easy to implement in modern game engines,and thus improve the quality of rendering scenes in video games or other real-ti me applications.

关键词： Real-time rendering Refraction Liquid renderings

Enhancing Embedding-Based Chinese Word Similarity Evaluation with Concepts and Synonyms Knowledge

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Computer Modeling in Engineering & Sciences 2020年第8期124卷 747-764页

作者： Fulian Yin Yanyan Wang Jianbo Liu Meiqi Ji Communication University of China Beijing100024China

Word similarity(WS)is a fundamental and critical task in natural language *** approaches to WS are mainly to calculate the similarity or relatedness of word pairs based on word embedding obtained by massive and high-quality ***,it may suffer from poor performance for insufficient corpus in some specific fields,and cannot capture rich semantic and sentimental *** address these above problems,we propose an enhancing embedding-based word similarity evaluation with character-word concepts and synonyms knowledge,namely EWS-CS model,which can provide extra semantic information to enhance word similarity *** core of our approach contains knowledge encoder and word *** knowledge encoder,we incorporate the semantic knowledge extracted from knowledge resources,including character-word concepts,synonyms and sentiment lexicons,to obtain knowledge *** encoder is to learn enhancing embedding-based word representation from pre-trained model and knowledge representation based on similarity ***,compared with baseline models,the experiments on four similarity evaluation datasets validate the effectiveness of our EWS-CS model in WS task.

关键词： Word representation concepts and synonyms knowledge word similarity information security

Directional Modulation Based on a Quantum Genetic Algorithm for a Multiple-Reflection Model

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Computers, Materials & Continua 2020年第9期64卷 1771-1783页

作者： Yuwei Huang Xiubo Chen Kaiguo Yuan Jianyi Zhang Biao Liu Information Security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijing100876China beijing Electronic Science and Technology Institute Beijing100070China Sate Key Laboratory of Public Big Data Guizhou UniversityGuiyang550025China School of Computing and Informatics The University of Louisiana at LafayetteLafayetteLA 70503USA.

Directional modulation is one of the hot topics in data security *** fulfill the requirements of communication security in wireless environment with multiple paths,this study takes into account the factors of reflections and antenna radiation pattern for directional *** other previous works,a novel multiple-reflection model,which is more realistic and complex than simplified two-ray reflection models,is proposed based on two *** focus is a quantum genetic algorithm applied to optimize antenna excitation in a phased directional modulation antenna *** quantum approach has strengths in convergence speed and the globe searching ability for the complicated model with the large-size antenna array and multiple *** this,a phased directional modulation transmission system can be optimized as regards communication safety and improve performance based on the constraint of the pattern of the antenna *** work can spur applications of the quantum evolutionary algorithm in directional modulation technology,which is also studied.

关键词： Directional modulation quantum genetic algorithm phased antenna array multiple reflection

Theoretical study on electronic structure and thermoelectric properties of PbS_xTe_(1-x)(x = 0.25, 0.5, and 0.75) solid solution

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Chinese Physics B 2018年第2期27卷 486-491页

作者：鲁勇李开跃张晓林黄艳邵晓红 beijing University of Chemical Technology College of Science

The electronic structure and thermoelectric（TE） properties of PbS_xTe_（1-x）（x = 0.25, 0.5, and 0.75） solid solution have been studied by combining the first-principles calculations and semi-classical Boltzmann theory. The special quasirandom structure（SQS） method is used to model the solid solutions of PbS_xTe_（1-x）, which can produce reasonable electronic structures with respect to experimental results. The maximum zT value can reach 1.67 for p-type PbS0.75Te0.25 and 1.30 for PbS0.5Te0.5 at 800 K, respectively. The performance of p-type PbS_xTe_（1-x） is superior to the n-type ones, mainly attributed to the higher effective mass of the carriers. The z T values for PbS_xTe_（1-x） solid solutions are higher than that of pure Pb Te and Pb S, in which the combination of low thermal conductivity and high power factor play important roles.

关键词： solid solution electronic structure thermoelectric properties

Probabilistic and Hierarchical Quantum Information Splitting Based on the Non-Maximally Entangled Cluster State

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Computers, Materials & Continua 2021年第10期69卷 339-349页

作者： Gang Xu Rui-Ting Shan Xiu-Bo Chen Mianxiong Dong Yu-Ling Chen School of Information Science and Technology North China University of TechnologyBeijing100144China Information Security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijing100876China Muroran Institution of Technology Muroran050-8585Japan State Key Laboratory of Public Big Data College of Computer Science and TechnologyGuizhou UniversityGuiyang550025China

With the emergence of classical communication security problems,quantum communication has been studied more *** this paper,a novel probabilistic hierarchical quantum information splitting protocol is designed by using a non-maximally entangled four-qubit cluster ***,the sender Alice splits and teleports an arbitrary one-qubit secret state invisibly to three remote agents Bob,Charlie,and *** agent David is in high grade,the other two agents Bob and Charlie are in low ***,the receiver in high grade needs the assistance of one agent in low grade,while the receiver in low grade needs the aid of all *** introducing an ancillary qubit,the receiver’s state can be inferred from the POVM measurement result of the ancillary ***,with the help of other agents,the receiver can recover the secret state probabilistically by performing certain unitary operation on his own *** addition,the security of the protocol under eavesdropping attacks is *** this proposed protocol,the agents need only single-qubit measurements to achieve probabilistic hierarchical quantum information splitting,which has appealing advantages in actual *** a probabilistic hierarchical quantum information splitting protocol hierarchical is expected to be more practical in multipartite quantum cryptography.

关键词： Cluster state hierarchical quantum information splitting probabilistic non-maximally entangled states

Towards Privacy-Preserving Cloud Storage:A Blockchain Approach

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Computers, Materials & Continua 2021年第12期69卷 2903-2916页

作者： Jia-Shun Zhang Gang Xu Xiu-Bo Chen Haseeb Ahmad Xin Liu Wen Liu Information Security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijing100876China School of Information Science and Technology North China University of TechnologyBeijing100144China Department of Computer Science National Textile UniversityFaisalabad37610Pakistan Inner Mongolia University of Science&Technology School of Information EngineeringBaotou014010China State Key Laboratory of Media Convergence and Communication Communication University of China School of Computer Science and Cybersecurity Communication University of China Key Laboratory of Convergent Media and Intelligent Technology Communication University of China Ministry of EducationBeijing102204China

With the rapid development of cloud computing technology,cloud services have now become a new business model for information *** cloud server provides the IT resources required by customers in a selfservice manner through the network,realizing business expansion and rapid ***,due to the insufficient protection of data privacy,the problem of data privacy leakage in cloud storage is threatening cloud *** address the problem,we propose BC-PECK,a data protection scheme based on blockchain and public key searchable ***,all the data is protected by the encryption *** privacy data is encrypted and stored in a cloud server,while the ciphertext index is established by a public key searchable encryption scheme and stored on the ***,based on the characteristics of trusted execution of smart contract technology,a control mechanism for data accessing and sharing is *** transaction is automatically recorded on the blockchain,which is fairer under the premise of ensuring the privacy and security of the data sharing ***,we analyzed the security and fairness of the current *** the comparison with similar schemes,we have shown the advantages of the proposed scheme.

关键词： Blockchain privacy protection smart contract public encryption keyword search