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arXiv 2020年

作者： Liu, Wen-Jie Gao, Pei-Pei Yu, Wen-Bin Qu, Zhi-Guo Yang, Ching-Nung Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology Nanjing210044 China School of Computer and Software Nanjing University of Information Science & Technology Nanjing210044 China Department of Computer Science and Information Engineering National Dong Hwa University Hualien974 Taiwan

Relief algorithm is a feature selection algorithm used in binary classification proposed by Kira and Rendell, and its computational complexity remarkable increases with both the scale of samples and the number of features. In order to reduce the complexity, a quantum feature selection algorithm based on Relief algorithm, also called quantum Relief algorithm, is proposed. In the algorithm, all features of each sample are superposed by a certain quantum state through the CMP and rotation operations, then the swap test and measurement are applied on this state to get the similarity between two samples. After that, Near-hit and Near-miss are obtained by calculating the maximal similarity, and further applied to update the feature weight vector W T to get W T ′ that determine the relevant features with the threshold τ. In order to verify our algorithm, a simulation experiment based on IBM Q with a simple example is performed. Efficiency analysis shows the computational complexity of our proposed algorithm is O(M), while the complexity of the original Relief algorithm is O(NM), where N is the number of features for each sample, and M is the size of the sample set. Obviously, our quantum Relief algorithm has superior acceleration than the classical one. Copyright © 2020, The Authors. All rights reserved.

关键词： Feature extraction

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Multi-party Quantum Communication Complexity on Composite Boolean-Valued Function 5th

Multi-party Quantum Communication Complexity on Composite Bo...

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5th International Conference on Artificial Intelligence and Security, ICAIS 2019

作者： Yu, Wenbin Dong, Zangqiang Liu, Wenjie Qu, Zhiguo Xu, Xiaolong Liu, Alex Xiangyang Jiangsu Engineering Center of Network Monitoring School of Computer and Software Nanjing University of Information Science and Technology NanjingJiangsu Province210044 China The Department of Computer Science and Application Zhengzhou Institute of Aeronautical Industry Management ZhengzhouHenan Province450015 China Department of Computer Science and Engineering Michigan State University East LansingMI48824-1226 United States

ISBN: (纸本)9783030242671

The performance of communication complexity depends on the selected computation model. Even on the specific model the quantum communication complexity is not always better than the classical one. This paper investigates the quantum communication complexity based on a multi-party computation model of the composite Boolean-valued function. On this model we design a quantum distributed algorithm to obtain the upper bound of quantum communication complexity. The result shows that the performance gap between quantum and classical communication complexity depends on the infinity order of function domain’s square root and users’ number. In the best situation the performance of the quantum communication complexity wins the quadratic level of advantage than the classical one. And sometimes the classical way is more efficient than the quantum one. © 2019, Springer Nature Switzerland AG.

关键词： Quantum communication

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Dynamic Resource Scheduling in Emergency Environment

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Journal of Information Hiding and Privacy Protection 2019年第3期1卷 143-155页

作者： Yuankun Yan Yan Kong Zhangjie Fu School of Computer&Software Nanjing University of Information Science&TechnologyNanjingChina Jiangsu Engineering Center of Network Monitoring School of Computer and SoftwareNanjingChina

Nowadays,emergency accidents could happen at any *** accidents occur unpredictably and the accidents requirements are *** accidents happen in a dynamic environment and the resource should be cooperative to solve the *** methods are focusing on minimizing the casualties and property losses in a static ***,they are lack in considering the dynamic and unpredictable event *** this paper,we propose a representative environmental model in representation of emergency and dynamic resource allocation model,and an adaptive mathematical model based on Genetic Algorithm(GA)to generate an optimal set of solution *** experimental results show that the proposed algorithm can get a set of better candidate solutions.

关键词： Cooperative allocation dynamic resource scheduling adaptive genetic algorithm

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Instance Retrieval Using Region of Interest Based CNN Features

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Journal of New Media 2019年第2期1卷 87-99页

作者： Jingcheng Chen Zhili Zhou Zhaoqing Pan Ching-nung Yang Jiangsu Engineering Center of Network Monitoring&Department of Computer and Software Nanjing University of Information Science and TechnologyNanjing210044China Department of Electrical and computer Engineer University of WinsorN9B3P4WinsorONCanada Department of Computer Science and Information Engineering National Dong Hwa University ShoufengHualien 974Taiwan

Recently, image representations derived by convolutional neural networks(CNN) have achieved promising performance for instance retrieval, and they outperformthe traditional hand-crafted image features. However, most of existing CNN-based featuresare proposed to describe the entire images, and thus they are less robust to backgroundclutter. This paper proposes a region of interest (RoI)-based deep convolutionalrepresentation for instance retrieval. It first detects the region of interests (RoIs) from animage, and then extracts a set of RoI-based CNN features from the fully-connected layerof CNN. The proposed RoI-based CNN feature describes the patterns of the detected RoIs,so that the visual matching can be implemented at image region-level to effectively identifytarget objects from cluttered backgrounds. Moreover, we test the performance of theproposed RoI-based CNN feature, when it is extracted from different convolutional layersor fully-connected layers. Also, we compare the performance of RoI-based CNN featurewith those of the state-of-the-art CNN features on two instance retrieval *** results show that the proposed RoI-based CNN feature provides superiorperformance than the state-of-the-art CNN features for in-stance retrieval.

关键词： Image retrieval instance retrieval RoI CNN convolutional layer,convolutional feature maps

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Blockchain-Based Trusted Electronic Records Preservation in Cloud Storage

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computers, Materials & Continua 2019年第1期58卷 135-151页

作者： Zhiliang Deng Yongjun Ren Yepeng Liu Xiang Yin Zixuan Shen Hye-Jin Kim School of Information and Control Nanjing University of Information Science&TechnologyNanjing210044China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing210044China Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science&TechnologyNanjing210044China School of Computer and Software Nanjing University of Information Science&TechnologyNanjing210044China College of Information Engineering Yangzhou UniversityYangzhou225127China Business Administration Research Institute Sungshin W.UniversitySeoulKorea

Cloud storage represents the trend of intensive,scale and specialization of information technology,which has changed the technical architecture and implementation method of electronic records ***,it will provide a convenient way to generate more advanced and efficient management of the electronic data ***,in cloud storage environment,it is difficult to guarantee the trustworthiness of electronic records,which results in a series of severe challenges to electronic records *** from the definition and specification of electronic records,this paper firstly analyzes the requirements of the trustworthiness in cloud storage during their long-term preservation according to the information security theory and subdivides the trustworthiness into the authenticity,integrity,usability,and reliability of electronic records in cloud ***,this paper proposes the technology framework of preservation for trusted electronic ***,the technology of blockchain,proofs of retrievability,the open archival information system model and erasure code are adopted to protect these four security attributes,to guarantee the credibility of the electronic record.

关键词： Trusted electronic record blockchain cloud storage

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Tigc-Net: Transformer-Improved Graph Convolution network for Spatio-Temporal Prediction

SSRN

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SSRN 2022年

作者： Chen, Kai Yang, Chunfeng Zhou, Zhengyuan Liu, Yao Ji, Tianjiao Sun, Weiya Chen, Yang School of Cyber Science and Engineering Southeast University Nanjing210096 China Key Laboratory of Computer Network and Information Integration Southeast University Ministry of Education Nanjing210096 China The College of Software Engineering Southeast University Nanjing210096 China Laboratory of Image Science and Technology The School of Computer Science and Engineering Southeast University Nanjing210096 China Jiangsu Key Laboratory of Molecular and Functional Imaging Department of Radiology Zhongda Hospital Southeast University Nanjing210009 China Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing School of Computer Science and Engineering Southeast University Nanjing210096 China NHC Key Laboratory of Medical Virology and Viral Diseases National Institute for Viral Disease Control and Prevention Chinese Center for Disease Control and Prevention Beijing China Beijing Institute of Tracking and Communication Technology Beijing100094 China

Modeling spatio-temporal sequences is an important topic yet challenging for existing neural networks. Most of the current spatio-temporal sequence prediction methods usually capture features separately in temporal and spatial dimensions or employ multiple mutually independent local spatio-temporal graphs to represent a spatio-temporal sequence. The first kind of method mentioned above is difficult to mine the complex spatio-temporal correlations, while the other is limited for the accuracy of long-term predictions. To handle these issues, this paper proposes a Transformer-Improved Graph Convolution network for spatio-temporal prediction. Specifically, the temporal location encoding method is exploited to derive the spatio-temporal characteristics of the sequence utilizing a spatio-temporal feature fusion network. In addition, a spatio-temporal attention network is developed to enhance the spatio-temporal correlation of the sequence, and the dynamic spatial features of sequence are further extracted through the adaptive graph convolution network. A private dataset and a public dataset are employed to demonstrate the performance of the proposed TIGC-Net. The qualitative and quantitative results show that the proposed TIGC-Net can extract dynamic spatiotemporal properties more effectively, enhance the spatio-temporal correlation of sequences and improve the prediction accuracy compared with four stateof-the-art. © 2022, The Authors. All rights reserved.

关键词： Convolution

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STR: Secure computation on additive shares using the share-transform-reveal strategy

arXiv

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arXiv 2020年

作者： Xia, Zhihua Gu, Qi Zhou, Wenhao Xiong, Lizhi Weng, Jian Xiong, Naixue N. College of Cyber Security Jinan University Guangzhou510632 China Engineering Research Center of Digital Forensics Ministry of Education School of Computer and Software Jiangsu Engineering Center of Network Monitoring Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology Nanjing University of Information Science & Technology Nanjing210044 China Guangxi Key Laboratory of Trusted Software Guilin University of Electronic Technology Guilin541004 China The College of Intelligence and Computing Tianjin University Tianjin300350 China

The rapid development of cloud computing probably benefits many of us while the privacy risks brought by semi-honest cloud servers have aroused the attention of more and more people and legislatures. In the last two decades, plenty of works seek to outsource various specific tasks to servers while ensuring the security of private data. The tasks to be outsourced are countless;however, the computations involved are similar. In this paper, we construct a series of novel protocols that support the secure computation of various functions on numbers (e.g., the basic elementary functions) and matrices (e.g., the calculation of eigenvectors and eigenvalues) on arbitrary n ≥ 2 servers. All protocols only require constant rounds of interactions and achieve low computation complexity. Moreover, the proposed n-party protocols ensure the security of private data even though n − 1 servers collude. The convolutional neural network models are utilized as the case studies to verify the protocols. The theoretical analysis and experimental results demonstrate the correctness, efficiency, and security of the proposed protocols. Copyright © 2020, The Authors. All rights reserved.

关键词： Additives

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A Balanced Cloudlet Management Method for Wireless Metropolitan Area networks 13th

A Balanced Cloudlet Management Method for Wireless Metropoli...

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13th EAI International Conference on Testbeds and Research Infrastructures for the Development of networks and Communities, TridentCom 2018

作者： Xu, Xiaolong Chen, Yuhao Qi, Lianyong He, Jing Zhang, Xuyun School of Computer and Software Nanjing University of Information Science and Technology Nanjing China Jiangsu Engineering Centre of Network Monitoring Nanjing University of Information Science and Technology Nanjing China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China School of Information Science and Engineering Qufu Normal University Jining China Department of Electrical and Computer Engineering University of Auckland Auckland New Zealand

ISBN: (纸本)9783030129705

With the rapid development of wireless communication technology, cloudlet-based wireless metropolitan area network, which provides people with more convenient network services, has become an effiective paradigm to meet the growing demand for requirements of wireless cloud computing. Currently, the energy consumption of cloudlets can be reduced by migrating tasks, but how to jointly optimize the time consumption and energy consumption in the process of migrations is still a significant problem. In this paper, a balanced cloudlet management method, named BCM, is proposed to address the above challenge. Technically, the Simple Additive Weighting (SAW) and Multiple Criteria Decision Making (MCDM) techniques are applied to optimize virtual machine scheduling strategy. Finally, simulation results demonstrate the effectiveness of our proposed method. © 2019, ICST Institute for computer Sciences, Social Informatics and Telecommunications engineering.

关键词： Energy utilization

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Long short term memory model for analysis and forecast of PM2.5 4th

Long short term memory model for analysis and forecast of PM...

引用

4th International Conference on Cloud Computing and Security, ICCCS 2018

作者： Yan, Leiming Zhou, Min Wu, Yaowen Yan, Luqi Jiangsu Engineering Center of Network Monitoring School of Computer and Software Nanjing University of Information Science and Technology Nanjing China

ISBN: (纸本)9783030000059

Atmospheric PM2.5 is a pollutant that has a major impact on the atmospheric environment and human health. Based on LSTM, we construct two prediction models, Stack LSTM and Encoder-Decoder, and evaluate the prediction performance of the model through four years of meteorological data training and testing models in Nanjing, Beijing, and Sanya. In the experiment, using the meteorological factors, contaminant factors, seasonal factors, and the normalized results of PM2.5 as input, the daily average PM2.5 concentration is predicted from 1 to 3 days. Experimental results show that the LSTM model has better performance than Random Forest and Encoder-Decoder. Using Nanjing as an example, comparing the forecast results of Nanjing PM2.5 with the data released by the environmental authorities, it is found that the value of the PM2.5 concentration predicted by the LSTM model is very close to the value of PM2.5 monitored by Nanjing’s environmental authorities. In prediction of PM2.5 for three consecutive days, the Root Mean Square Error (RMSE) of the LSTM model is only 18.96. Under the LSTM model, the prediction result of the three cities are better than other prediction models, which shows that the LSTM model has a good adaptability in predicting the PM2.5 concentration. © Springer Nature Switzerland AG 2018.

关键词： Long short-term memory

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Quantum Blockchain: A Decentralized, Encrypted and Distributed Database Based on Quantum Mechanics

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Journal of Quantum Computing 2019年第2期1卷 49-63页

作者： Chuntang Li Yinsong Xu Jiahao Tang Wenjie Liu School of Computer and Software Nanjing University of Information Science and TechnologyNanjing210044China Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and TechnologyNanjing210044China

Quantum blockchain can be understood as a decentralized, encrypted anddistributed database based on quantum computation and quantum information *** the data is recorded in the quantum blockchain, it will not be maliciously tamperedwith. In recent years, the development of quantum computation and quantum informationtheory makes more and more researchers focus on the research of quantum blockchain. Inthis paper, we review the developments in the field of quantum blockchain, and brieflyanalyze its advantages compared with the classical blockchain. The construction and theframework of the quantum blockchain are introduced. Then we introduce the method ofapplying quantum technology to a certain part of the general blockchain. In addition, theadvantages of quantum blockchain compared with classical blockchain and itsdevelopment prospects are summarized.

关键词： Quantum computation quantum blockchain digital currency

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