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IEEE Wireless Communications and networking Conference Workshops (WCNCW)

作者： Haotong Cao Yue Hu Shengchen Wu Jianbo Du Feng Tian Gagangeet Singh Aujla Longxiang Yang College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing China Department of Key Accounts China Mobile Group Jiangsu Co. Ltd. Nanjing China Shanxi Key Laboratory of Information Communication Network and Security Xi'an University of Posts and Telecommunications Xi'an China School of Computing Newcastle University Newcastle upon Tyne U.K

ISBN: (数字)9781728151786

ISBN: (纸本)9781728151793

network softwarization technologies, such as software defined networking (SDN), network virtualization (NV), and network function virtualization (NFV), emerge and have been greatly promoted by their supporters. This softwarization scheme contributes to isolating network control from data panel, and allocating virtualized physical network resources flexibly. However, physical switches and links, supporting the softwarization scheme, may be attacked by malicious attackers. Even if these switches and links are softwarized and virtualized successfully, the problem of mapping various virtual network requests, known as virtual network embedding, is difficult to solve directly. Each customized VN request must be allocated and implemented in the appropriate manner. To deal with these issues, we research the virtual network mapping for secure SDN-enabled networks. Firstly, a hierarchical virtualization architecture for SDN- enabled networks is presented. Then, the security model for different malicious attacks is presented. Thirdly, we propose the novel and secure virtual network mapping framework, labeled as \textit{NoViSec}, for supporting SDN-enabled networks. Preliminary experiment results are plotted and discussed so as to validate the effectiveness of our secure \textit{NoViSec} framework.

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Remote Healthcare Monitoring System for Aging Population Based on IoT and Big Data Analysis

Remote Healthcare Monitoring System for Aging Population Bas...

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IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

作者： Qiang Liu Songlin Sun Liang Gong Zhongle Wu Mohamed Cheriet Michel Kadoch National Engineering Laboratory for Mobile Network Security Beijing University of Posts and Telecommunications Beijing China Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing University of Posts and Telecommunications Beijing China School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China Academy of Broadcasting Planning NRTA China ETS University of Quebec Montreal Canada

ISBN: (数字)9781728157849

ISBN: (纸本)9781728157856

As the population ages, this will put tremendous pressure on pensions and the medical system. Health insurance for the elderly poses a major challenge to the allocation of limited medical resources. The Internet of Things (IoT) is widely regarded as a potential solution to relieve pressure on healthcare systems. With the rapid development of wireless communication technologies such as backscatter communication, Wi-Fi and 5G, in vivo and in vitro medical devices have been greatly developed. In this article, we propose a real-time big data healthcare analysis system based on the combination of shallow neural networks and deep neural networks. The system consists of two parts: the detection of fog layer abnormality based on shallow neural network and the diagnosis of cloud disease based on deep neural network. The system can not only make full use of the real-time nature of the fog layer but also give full play to its powerful computing power based on reducing the computing pressure of the cloud layer.

关键词： Cloud computing Neural networks Sociology Real-time systems Internet of Things Statistics Medical diagnostic imaging

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Measurement-Device-Independent Quantum key Distribution with Leaky Sources

arXiv

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arXiv 2020年

作者： Wang, Weilong Tamaki, Kiyoshi Curty, Marcos EI Telecomunicación Department of Signal Theory and Communications University of Vigo VigoE-36310 Spain State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan450001 China Henan Key Laboratory of Network Cryptography Technology ZhengzhouHenan450001 China Faculty of engineering University of Toyama Gofuku 3190 Toyama930-8555 Japan

Measurement-device-independent quantum key distribution (MDI-QKD) can remove all detection side-channels from quantum communication systems. The security proofs require, however, that certain assumptions on the sources are satisfied. This includes, for instance, the requirement that there is no information leakage from the transmitters of the senders, which unfortunately is very difficult to guarantee in practice. In this paper we relax this unrealistic assumption by presenting a general formalism to prove the security of MDI-QKD with leaky sources. With this formalism, we analyze the finite-key security of two prominent MDI-QKD schemes – a symmetric three-intensity decoy-state MDI-QKD protocol and a four-intensity decoy-state MDI-QKD protocol – and determine their robustness against information leakage from both the intensity modulator and the phase modulator of the transmitters. Our work shows that MDI-QKD is feasible within a reasonable time frame of signal transmission given that the sources are sufficiently isolated. Thus, it provides an essential reference for experimentalists to ensure the security of experimental implementations of MDI-QKD in the presence of information leakage. Copyright © 2020, The Authors. All rights reserved.

关键词： Quantum cryptography

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Spatiotemporal Differences of COVID-19 Infection among Healthcare Workers and Patients in China from January to March 2020

arXiv

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arXiv 2020年

作者： Wang, Peixiao Zhu, Xinyan Guo, Wei Ren, Hui Hu, Tao Center for Geographic Analysis Harvard University CambridgeMA02138 United States Collaborative Innovation Center of Geospatial Technology Wuhan430079 China Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education Wuhan University Wuhan430079 China State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan430079 China

Studying the spatiotemporal differences in coronavirus disease (COVID-19) between social groups such as healthcare workers (HCWs) and patients can aid in formulating epidemic containment policies. Most previous studies of the spatiotemporal characteristics of COVID-19 were conducted in a single group and did not explore the differences between groups. To fill this research gap, this study assessed the spatiotemporal characteristics and differences among patients and HCWs infection in Wuhan, Hubei (excluding Wuhan), and China (excluding Hubei). The temporal difference was greater in Wuhan than in the rest of Hubei, and was greater in Hubei (excluding Wuhan) than in the rest of China. The incidence was high in healthcare workers in the early stages of the epidemic. Therefore, it is important to strengthen the protective measures for healthcare workers in the early stage of the epidemic. The spatial difference was less in Wuhan than in the rest of Hubei, and less in Hubei (excluding Wuhan) than in the rest of China. The spatial distribution of healthcare worker infections can be used to infer the spatial distribution of the epidemic in the early stage and to formulate control measures accordingly. © 2020, CC BY.

关键词： Spatial distribution

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A Novel 3D Video Fingerprinting Algorithm Based on Local Feature Points

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Chinese Journal of Electronics 2018年第6期27卷 1192-1199页

作者： SUN Ziqiang ZHU Yuesheng LIU Xiyao Shenzhen Key Lab of Information Theory & Future Network Arch Communication and Information Security LaboratoryShenzhen Graduate School Peking University Nanjing Research Institute of Electronics Technology School of Information Science and Engineering Central South University

Digital rights management of the 3 D contents is a crucial open issue in the 3 D video industry. A novel robust fingerprinting algorithm is proposed for protecting the copyright of the 3 D video. Unlike the existing algorithms extracting visual features separately from the 2 D videos and the depth maps, in our algorithm a novel local stereo space is constructed according to the depth information of the pixels around the extracted local feature points in the 2 D videos, and the 3 D videos are processed in a holistic manner. In the proposed space,the 3 D-transform-feature is extracted and aggregated into a feature matrix, and then the compact 3 D video fingerprints are obtained from the eigenspace of the matrix. Our comprehensive experiments are conducted on a 3 D video database, and the results have demonstrated the robustness and discrimination of the proposed algorithm. Moreover, our fingerprints cost less storage spaces than the existing approaches.

关键词： Digital rights management Video fingerprinting 3D video Local feature points

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Numerical Investigation of Pallet Structure with Annular Slot in MOVPE Chamber

Numerical Investigation of Pallet Structure with Annular Slo...

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2019 International Conference on Civil Engineering, Environment Resources and Energy Materials, CCESEM 2019

作者： Li, Zhiming Lu, Ligen Li, Hailing Guo, Runqiu Feng, Lansheng Shandong Provincial Key Laboratory of Network Based Intelligent Computing School of Information Science and Engineering University of Jinan Jinan250022 China Shandong College of Electronic Technology Jinan250022 China School of Mechano-Electronic Engineering Xidian University Xi'an710071 China

A pallet structure with an annular slot is proposed in the perpendicular MOVPE chamber by electromagnetic heating Compared with the conventional pallet, the shape of the slot changes the directions of the thermal conduction in the pallet, which makes the temperature distribution of the substrate more uniform. The optimized pallet structure which makes the most uniform temperature profile of the substrate is also given. In addition, the intervals of the applied parameters such as the current frequency, current strength and coil turns which keep the stable change of the substrate temperature are also obtained, by analyzing the change of the substrate temperature with the parameters. When one of the parameters is changed in the interval, the temperature magnitude can be adjusted while ensuring a certain uniformity of the temperature. This is beneficial to control the growth of the thin film. © Published under licence by IOP Publishing Ltd.

关键词： Pallets

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XTQA: Span-Level Explanations for Textbook Question Answering

arXiv

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arXiv 2020年

作者： Ma, Jie Chai, Qi Liu, Jun Yin, Qingyu Wang, Pinghui Zheng, Qinghua Ministry of Education of Key Lab for Intelligent Networks and Network Security School of Cyber Science and Engineering Xi’an Jiaotong University Shaanxi Xi’an710049 China Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering The School of Computer Science and Technology Xi’an Jiaotong University Shaanxi Xi’an710049 China Amazon United States

Textbook Question Answering (TQA) is the task of correctly answering diagram or non-diagram questions given large multi-modal contexts consisting of abundant essays and diagrams. In real-world scenarios, an explainable TQA system plays a key role in deepening humans’ understanding of learned knowledge. However, there is no work to investigate how to provide explanations currently. To address this issue, we devise a novel architecture towards span-level eXplanations for TQA (XTQA). In this paper, spans are the combinations of sentences within a paragraph. The key idea is to consider the entire textual context of a lesson as candidate evidence, and then use our proposed coarse-to-fine grained Explanation Extracting (EE) algorithm to narrow down the evidence scope and extract the span-level explanations with varying lengths for answering different questions. The EE algorithm can also be integrated into other TQA methods to make them explainable and improve the TQA performance. Experimental results show that XTQA obtains the best overall explanation result (mIoU) of 52.38% on the first 300 questions of CK12-QA test splits, demonstrating the explainability of our method (non-diagram: 150 and diagram: 150). The results also show that XTQA achieves the best TQA performance of 36.46% and 36.95% on the aforementioned splits respectively. We have released our code in https://***/dr-majie/*** Codes 68T07 Copyright © 2020, The Authors. All rights reserved.

关键词： Textbooks

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Defence Against Adversarial Attacks Using Clustering Algorithm

Defence Against Adversarial Attacks Using Clustering Algorit...

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2019国际计算机前沿大会

作者： Yanbin Zheng Hongxu Yun Fu Wang Yong Ding Yongzhong Huang Wenfen Liu Guangxi Key Laboratory of Cryptography and Information Security Guilin University of Electronic Technology School of Computer Science and Engineering South China University of Technology School of Computer Science and Network Security Dongguan University of Technology

Deep learning model is vulnerable to adversarial examples in the task of image *** this paper,a cluster-based method for defending against adversarial examples is *** adversarial example before attacking a classifier is reconstructed by a clustering algorithm according to the pixel *** MNIST database of handwritten digits was used to assess the defence performance of the method under the fast gradient sign method(FGSM) and the Deep Fool *** defence model proposed is simple and the trained classifier does not need to be retrained.

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Emergency analysis based on affective computing in universities forum 5th

Emergency analysis based on affective computing in universit...

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

作者： Zhang, Lu Wu, Xu Xie, Xiaqing Xu, Jin Zhang, Tianle Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing100876 China School of Cyberspace Security BUPT Beijing100876 China Beijing University of Posts and Telecommunications Library Beijing100876 China Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou510006 China

ISBN: (纸本)9783030242701

Emergency analysis for social networking sites have gained increased attention. In order to detect emergencies in University Forums, we present an emergency analysis method based on affective computing. The method detects the emergency and calculates the scores in real-time based on affective computing and the University Public Opinion Ontology (UPO_Ontology) established manually. The method is evaluated on two test datasets. The results show that the UPO_Ontology and affective computing greatly improved the accuracy, recall and F-measure. The method proposed in this paper meets the requirement of real-time detection. What's more, It gain of 1.24% in F-measure over the "event-specific detection" proposed by Laylavi et al. and outperforms emergency detect using contextual semantics by nearly 7.1% in F-measure. The analysis of the emergencies in University Forums will help Universities deal with emergencies more effectively and provide students with better service. © Springer Nature Switzerland AG 2019.

关键词： Semantics

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Correlation-Aware Virtual Machine Placement in Data Center networks 7th

Correlation-Aware Virtual Machine Placement in Data Center N...

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7th EAI International Conference on Cloud computing, CloudComp 2016 and 1st EAI International Conference on security and Privacy in New computing Environments, SPNCE 2016

作者： Chen, Tao Zhu, Yaoming Gao, Xiaofeng Kong, Linghe Chen, Guihai Wang, Yongjian Shanghai Key Laboratory of Scalable Computing and Systems Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of Information Network Security of Ministry of Public Security The Third Research Institute of Ministry of Public Security Shanghai China

ISBN: (纸本)9783319696041

The resource utilization (CPU, memory) is a key performance metric in data center networks. The goal of the cloud platform supported by data center networks is achieving high average resource utilization while guaranteeing the quality of cloud services. Previous work focus on increasing the time-average resource utilization and decreasing the overload ratio of servers by designing various efficient virtual machine placement schemes. Unfortunately, most of virtual machine placement schemes did not involve the service level agreements and statistical methods. In this paper, we propose a correlation-aware virtual machine placement scheme that effectively places virtual machines on physical machines. First, we employ Neural networks model to forecast the resource utilization trend according to the historical resource utilization data. Second, we design correlation-aware placement algorithms to enhance resource utilization while meeting the user-defined service level agreements. The results show that the efficiency of our virtual machine placement algorithms outperform the previous work by about 15%. © 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Virtual machine

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