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The design and implementation of network attack and defense platform based on cloud desktop

Journal of Physics: Conference Series 2017年第1期887卷

作者： Zining Yan Yunhan Wang Shijiao Shao Boquan Li Embedded System Lab. College of Computer Science and Technology Harbin China Institute of Information Engineering Chinese Academy of Sciences School of Cyber Security University of Chinese Academy of Sciences Key Laboratory of Network Assessment of Technology Chinese Academy of Sciences Beijing China

This paper discusses the cloud desktop technology, virtualization technology and penetration testing technology used in the network attack and defense training platform, and introduces the design and implementation process of the network attack and defense training platform. This paper focuses on the cloud desktop construction scheme based on B/S structure, and aims to enhance the flexibility and convenience of network attack and defense training platform.

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The 5th International Conference on Biomedical engineering and Biotechnology (ICBEB 2016) Abstracts

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BMC MEDICAL IMAGING 2016年第SUPPL 1期16卷 65-65页

作者： [Anonymous] Department of MRI Shandong Medical Imaging Research Institute Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China Department of Interventional Radiology Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China College of Information Science and Technology Engr. Research Center of Digitized Textile & Fashion Tech. for Ministry of Education Donghua University Shanghai 201620 China Intelligent multimedia information processing Lab College of Software Northeastern University Shenyang Liaoning Province 110004 China Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China School of Computer Science and Technology Nanjing Normal University Nanjing China Department of Electrical Engineering The City College of New York CUNY New York USA Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing Nanjing China School of Electronic Science and Engineering Nanjing University Nanjing Jiangsu 210046 China College of Engineering Nanyang Technological University Singapore 639798 Singapore School of Electronic Information Shanghai Dianji University Shanghai China School of Natural Sciences and Mathematics Shepherd University Shepherdstown WV 25443 USA Davis College of Agriculture Natural Resources and Design West Virginia University Morgantown WV 26505 USA State Key Laboratory of Millimeter Waves Southeast University Nanjing 210096 China Center of Medical Physics and Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China College of Agricultural and Life Sciences University of Florida Gainesville FL 32611 USA Courant Institute of Mathematical Sciences New York University New York NY 10012 USA Translational Imaging Division & MRI Unit Columbia University and New York State Psychiatric Institute New York NY 10032 USA Guangxi Key Laboratory of Manufacturing System & Adv

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROscience 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Inaugurating a new International Journal:Digital Communications and Networks (DCN) Welcome from the Editors-in-Chief

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Digital Communications and Networks 2015年第1期 5+3-4页

作者： Chonggang Wang Huosheng Hu Jinzhao Lin the Innovation Lab InterDigital Communications King of Prussia PA the School of Computer Science & Electronic Engineering at the University of Essex in the United Kingdom Chongqing University of Posts and Telecommunication (CQUPT) Chongqing Municipal-Level Key Laboratory of Optical-Electronic Information Sensing and Transmitting (PIST) Chongqing Municipal-Level Inovative Team of Core Technology in Intelligent Medical System

We are pleased and excited to introduce you to this inaugural issue of Digital Communications and Networks(DCN)—a new,international,fully open access journal focused on a rapidly evolving information technology having significant impact on people's daily *** primary aim of DCN is to enable easy and swift dissemination and exchange of technical advances in the field of digital communication systems and networks.

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROscience 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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Research on parallel test task scheduling based on improved genetic algorithm and petri net

Research on parallel test task scheduling based on improved ...

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International Conference on Vehicle and Mechanical engineering and Information Technology, VMEIT 2014

作者： Chen, Pei Pei Qiu, Bao Mei Ba, Hao School of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing 400065 China School of Engineering Research Center of Automotive Electronic and Embedded System Chongqing University of Posts and Telecommunications Chongqing 400065 China

ISBN: (纸本)9783038350606

Parallel test task scheduling is always complex and difficult to optimize. Aiming at this problem, an improved Genetic Simulated Annealing Algorithm based on Petri net is posed to. At first, a Petri net model is established for the system, then the transition sequence is used as task scheduling sequence set path. Genetic Algorithm is introduced in order to get the optimal path. In the process of search, the sequence will be able to stimulate changes as chromosomes, selection, crossover and mutation. In order to prevent premature convergence of the algorithm appears, into the phenomenon of local optimal solution, the individual needs simulated annealing operation, and finally, we can get the shortest time to complete the test task scheduling sequence. © (2014) Trans Tech Publications, Switzerland.

关键词： Genetic algorithms

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Adaptive spectrum detecting algorithm in cognitive radio

Advances in Intelligent Systems and Computing

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Advances in intelligent systems and Computing 2014年 215卷 461-475页

作者： Liu, Yun Peng, Qicong Sun, Fuchun Shao, Huaizong Chen, Xingfeng Wang, Ling School of Communication and Technology Engineering University of Electronic Science and Technology of China Chengdu 610054 China State Key Lab of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing 100084 China State Key Laboratory of Remote Sensing Science Institute of Remote Sensing Applications CAS Beijing 100101 China

Cognitive radio (CR) network can make an opportunistic access of spectrum licensed to a primary user (PU). The CR must perform spectrum sensing to detect active PU, thereby avoiding interfering with it. This chapter focuses on adaptively spectrum sensing, so that negative impacts to the performance of the CR network are minimized when CR users experience both stochastic data arrival and time-varying channel. Since the frequency of the spectrum sensing has a directly impact on system throughput and the probability of collision between the PU and CR user, the PU activity is modeled based on the characteristic analysis of the PU spectrum utilization. Based on that, an efficient adaptive sensing algorithm that takes into account the system stability, collision, and throughput is proposed. The CR users can make a balance between them by utilizing a "periodic control factor" which controls the adaptive adjustment of the spectrum sensing frequency. The simulation results indicate that the proposed algorithm has excellent performance on collision probability and throughput compared with conventional periodic spectrum sensing scheme. Meanwhile, it is shown that the proposed algorithm has low implementation complexity for practical applications. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Cognitive radio

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A novel spectrum sensing algorithm in cognitive radio system based on OFDM

Advances in Intelligent Systems and Computing

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Advances in intelligent systems and Computing 2014年 215卷 131-138页

作者： Yun, Liu Peng, Qicong Sun, Fuchun Shao, Huaizong Chen, Xingfeng Wang, Ling School of Communication and Technology Engineering University of Electronic Science and Technology of China Chengdu 610054 China State Key Lab of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing 100084 China State Key Laboratory of Remote Sensing Science Institute of Remote Sensing Applications CAS Beijing 100101 China

In cognitive radio (CR) networks, spectrum sensing which attracts a lot of interest is a significant task. Aiming at the problem that conventional spectrum sensing technique is usually focused on signal band. This paper introduces a multiband joint spectrum detection based on multiple signal classification (MUSIC) algorithm for orthogonal frequency division multiplexing (OFDM) cognitive ratio system. The proposed eigenvalue-construct method only uses signal autocorrelation of OFDM symbols and simple sorting to achieve the spectrum detection. The computer simulations show that the proposed approach has a good performance compared with the conventional energy sensing method which uses the same threshold over multiple frequency bands. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Cognitive radio

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A collaborative method for business process oriented requirements acquisition and refining

A collaborative method for business process oriented require...

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2014 International Conference on Software and systems Process, ICSSP 2014

作者： Lai, Han Peng, Rong Ni, Yuze State Key Lab. of Software Engineering Computer School Wuhan University Wuhan China Chongqing Key Lab. of Electronic Commerce and Supply Chain System Chongqing Technology and Business University Chongqing China School of Computer Science and Information Engineering Chongqing Technology and Business University Chongqing China

ISBN: (纸本)9781450327541

Requirements Elicitation (RE) is a critical process in system/software engineering. Its goal is to capture the stakeholders expectations, needs and constraints, which can be elicited, analyzed and specified as requirements. Gathering the requirements correctly, clearly and completely in a natural way is a typical challenging problem, because requirements analysts always play key roles in the elicitation process dominantly while stakeholders participate in passively. In this paper, we propose a collective intelligence driven business process oriented requirements acquisition and refining method. Its aim is to reduce the requirements analysts dominance and promote stakeholders self-expression and self-improvement to elicit requirements clearly and completely. It adopts the group storytelling method to promote the collaboration and communication among stakeholders, utilizes the narrative network model to enhance the associations among story fragments, and introduces dialogue game theory to guide the progressive refining. At the same time, the activity theory is adopted as the description framework to present the method and an application example is introduced. Finally, a pilot experiment is carried out to evaluate its perceived usefulness and perceived ease of use;and the actual quality of the requirements based on the degree of completeness and understandability in comparison with JAD. The results show that the requirements elicited by BPCRAR are more complete and understandable than JAD. In addition, the BPCRAR is perceived usefulness and ease of use in the experiment. © 2014 ACM.

关键词： Refining

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Evaluating the BPCRAR Method: A Collaborative Method for Business Process Oriented Requirements Acquisition and Refining

Evaluating the BPCRAR Method: A Collaborative Method for Bus...

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1st Asia Pacific Requirements engineering Symposium, APRES 2014

ISBN: (纸本)9783662436097

The goal of requirements elicitation is to understand the stakeholders' needs and constraints, and form the system requirements. But gathering requirements correctly, completely and understandably in a natural way is a great challenge to traditional methods, for requirements analysts always play key roles in the elicitation process dominantly while stakeholders participate in passively. Therefore, strategies that help the identification of requirements based on reducing the requirements analysts' dominance and promoting stake-holders' self-expression and self-improvement are welcomed. This paper reports a controlled experiment to evaluate the Business Process oriented Collaborative Requirements Acquisition and Refining (BPCRAR) method. Compared to JAD, the statistical results show that the requirements elicited by BPCRAR are more complete and understandable. Besides that, the perceived usefulness, ease to learn, and ease of use of BPCRAR are all confirmed by the statistical data got from the questionnaire to the participants. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Refining

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