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The system design of a node of P2P networks for intrusion detection

Journal of Networks 2013年第8期8卷 1920-1927页

作者： Ding, Lei Yu, Fei Yang, Zhenghua Yue, Guangxue School of Information Science and Engineering Jishou University Jishou 416000 China Jiangsu Provincial Key Laboratory for Computer Information Processing Technology Soochow University Soochow 215006 China School of Mathematic and Computer Jiaxin University Jiaxin 314001 China

To improve the measuring accuracy of intrusion detection, a system design of a node for intrusion detection is proposed in this paper. First, the technology that applies the traditional intrusion detection method, such as anomaly detection and misuse detection, into P2P networks is presented. Next, to build the trust relationship among the nodes, and realize the cooperation mechanism of data detection, collection and response among the nodes of P2P networks, the corresponding solving plans, such as topological structure, trust model, information share and information fusion, are proposed in this paper. Then the concept of network telescope is presented to broaden the field of vision of malicious attacks and abnormal network packets in the propagation path. Finally, a system design of a node for intrusion detection using the honeypot technology is proposed in this paper. © 2013 ACADEMY PUBLISHER.

关键词： Intrusion detection

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Survey of DCA for abnormal detection

Journal of Software

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Journal of Software 2013年第8期8卷 2087-2094页

作者： Ding, Lei Yu, Fei Yang, Zhenghua School of Information Science and Engineering Jishou University Jishou 416000 China Jiangsu Provincial Key Laboratory for Computer Information Processing Technology Soochow University Soochow 215006 China School of Information Science and Engineering Jishou University Jishou 416000 China

As a latest immune algorithm, dendritic cell algorithm (DCA) has been successfully applied into the abnormal detection. First, this paper reviewed the research progress of DCA from the following aspects: signal extraction technology, DCA signal processing technology, the decision method for load anomaly judgment, and the application research of DCA. Next, the corresponding solving thoughts for the main problems existing in the DCA were proposed in this paper. Finally, the future research trends of DCA were presented in this paper. © 2013 ACADEMY PUBLISHER.

关键词： Signal processing

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Application and Study on Sentiment-oriented Analysis on Social Semantic Network

Application and Study on Sentiment-oriented Analysis on Soci...

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2013 International Conference on Advanced computer Science and Electronics information(ICACSEI 2013)

作者： Dan Zhang Dongsheng Wang Haiping Huang College of Telecommunications & Information Engineering Nanjing University of Posts and Telecommunications Department of Computer and Information Science Korea University Seoul College of Computer & Information Science Nanjing University of Posts and Telecommunications Jiangsu Computer Information Processing Technology Key Laboratory Suzhou University

With the increasing growth of users and exponential propagation of messages, Social Network Services such as Twitter, Facebook can be used to analyze social trend, people's interests and personal-favor. Recently, the Social Network Analysis based on Semantic Web technology tends to be a hot study. In this paper, we propose a sentiment-oriented method that takes advantage of emotion ontology to reason out Twitter users' basic emotions and retrieve YAGO ontology to explain associative topics. We implement a prototype system that visualizes the analysis result, which is human- readable as well as machine-understandable.

关键词： Semantic Web technology, Twitter Mining, Social Network Analysis, emotion analysis, Social Semantic Network

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Coverage Enhancement Strategy Based on Novel Perception and Co-evolution for Multimedia Sensor Networks

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电子学报(英文版) 2013年第1期22卷 135-140页

作者： XIAO Fu WANG Jing SUN Lijuan WANG Ruchuan GUO Jian College of Computer Nanjing University of Posts and Telecommunications Nanjing 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing 210003 China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing 210003 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou 215006 China

Coverage enhancement is one of the hot research topics in wireless multimedia sensor net- works. A novel Coverage-enhancing algorithm based on three-dimensional Directional perception and co-evolution (DPCCA) is proposed in multimedia sensor networks on the basis of the model whose pitch angle and deviation angle can be adjusted. Based on the proposed elliptical cone sensing model, we can derive the coverage area of the node and calculate the optimal pitch angle according the information of monitoring area and the nodes, and then the deviation angle is optimized based on co-evolution al- gorithm, which eliminate the overlapped and blind sensing area effectively. A set of simulations demonstrate the ef- fectiveness of our algorithm in coverage ratio.

关键词：无线多媒体传感器网络网络覆盖协同进化感知增强算法网络工程测量模型

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An Improved Algorithm for Computing the Area of Union of Circles

An Improved Algorithm for Computing the Area of Union of Cir...

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2014 International Conference on information technology and Management Engineering(ITME 2014)

作者： Xiu-juan LI Jian-xun CHEN School of Computer Science Wuhan University of Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System

As in computational geometry, CAD/CAM and computer graphics, the basic algorithm of computing of the area of the union of circles is widely used in many fields. In order to solve the problems of judging constraint arcs' direction vaguely and computing some overlap region's area repeatedly on [2], this paper proposes an improved algorithm for computing the area of union of circles. The improved algorithm can calculate united area of circles with distribution at any possible positions, and experimental comparison shows that the algorithm not only solves those problems, but also has more reliability.

关键词： Area of union of circles Computational geometry Constraint arc computer graphics

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A computer-aided visualization system for orthodontic treatment

A computer-aided visualization system for orthodontic treatm...

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International Conference on information Science and technology (ICIST)

作者： Ziwei Li Yangzhou Gan Jiali Tan Qunfei Zhao Zeyang Xia Shenzhen Institutes of Advanced Technology Chinese University of Hong Kong Shenzhen China Department of Automation Key Laboratory of System Control and Information Processing Shanghai China Hospital of Stomatology Guangdong Provincial Key Laboratory Stomatology Guangzhou China

This system present a feasibility of computer-aided diagnosis, planning and simulation for orthodontic treatment. In the Visualization Toolkit (VTK) and Microsoft Foundation Classes (MFC) integrated environment, a flexible, friendly and functional interface for orthodontic treatment was designed. The methods of how to integrate VTK and MFC in different system are described, and the three-dimensional model of the dentition is reconstructed by using marching-cubes (MC) algorithms. Finally, the three-dimensional model for rendering and interaction is also introduced.

关键词： Solid modeling Three-dimensional displays Data visualization Teeth Computational modeling Image reconstruction Data models

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Action recognition of motion capture data

Action recognition of motion capture data

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Congress on Image and Signal processing, CISP

作者： Na Lv Zhiquan Feng Lingqiang Ran Xiuyang Zhao Shandong Provincial Key Laboratory of Network based Intelligent Computing Jinan P.R. China Department of Information Science and Technology University of Jinan Jinan China School of Computer Science and Technology Shandong University Jinan China

ISBN: (纸本)9781479958368

With the advancement of motion capture technology, 3D skeleton data is easier to be obtained. 3D skeleton data has the advantage over traditional video data for the reason that it is less affected by illumination, complex background, self-occlusion and noise. 3D skeleton data brings new opportunities and challenges to the action recognition research. In this paper, we propose a new method for action recognition of motion capture data. We use relative velocity of all the joint pairs to encode the kinematic characteristics and the primary vector decomposed from Motion Sequence Volume(MSV) to represent the distribution of joint positions in the motion sequence. The extracted features are fed into a Spectral Regression Kernel Discriminant Analysis(SRKDA) classifier to identify motion types. In the experiment, our method obtains higher recognition accuracy than the state-of-art methods.

关键词： Feature extraction Joints Three-dimensional displays Conferences Pattern recognition computer vision

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Parallel construction of independent spanning trees and an application in diagnosis on Möbius cubes

Parallel construction of independent spanning trees and an a...

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作者： Cheng, Baolei Fan, Jianxi Jia, Xiaohua Jia, Juncheng School of Computer Science and Technology Soochow University Suzhou 215006 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou 215006 China Department of Computer Science City University of Hong Kong Tat Chee Avenue Kowloon Hong Kong

Independent spanning trees (ISTs) on networks have applications to increase fault-tolerance, bandwidth, and security. Möbius cubes are a class of the important variants of hypercubes. A recursive algorithm to construct n ISTs on n-dimensional Möbius cube M n was proposed in the literature. However, there exists dependency relationship during the construction of ISTs and the time complexity of the algorithm is as high as O(NlogN), where N=2 n is the number of vertices in M n and n≥2. In this paper, we study the parallel construction and a diagnostic application of ISTs on Möbius cubes. First, based on a circular permutation n-1,n-2,.,0 and the definitions of dimension-backbone walk and dimension-backbone tree, we propose an O(N) parallel algorithm, called PMCIST, to construct n ISTs rooted at an arbitrary vertex on M n . Based on algorithm PMCIST, we further present an O(n) parallel algorithm. Then we provide a parallel diagnostic algorithm with high efficiency to diagnose all the vertices in M n by at most n+1 steps, provided the number of faulty vertices does not exceed n. Finally, we present simulation experiments of ISTs and an application of ISTs in diagnosis on 0-M 4. © 2013 Springer Science+Business Media New York.

关键词： Parallel algorithms

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A computer-Aided Visualization System for Orthodontic Treatment

A Computer-Aided Visualization System for Orthodontic Treatm...

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2014 4th IEEE International Conference on information Science and technology

作者： Ziwei Li Yangzhou Gan Jiali Tan Qunfei Zhao Zeyang Xia Shenzhen Institutes of Advanced Technology Chinese Academy of Sciencesand The Chinese University of Hong Kong Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China Guanghua School of Stomatology Hospital of StomatologySun Yat-Sen University and Guangdong Provincial Key Laboratory of Stomatology

This system present a feasibility of computer-aided diagnosis, planning and simulation for orthodontic *** the Visualization Toolkit(VTK) and Microsoft Foundation Classes(MFC) integrated environment, a flexible, friendly and functional interface for orthodontic treatment was *** methods of how to integrate VTK and MFC in different system are described, and the three-dimensional model of the dentition is reconstructed by using marching-cubes(MC)algorithms. Finally, the three-dimensional model for rendering and interaction is also introduced.

关键词： simulation MFC A computer-Aided Visualization System for Orthodontic Treatment VTK

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An iterative space alternative tiling parallel algorithm for 3D finite difference stencil computations

International Journal of Database Theory and Application

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International Journal of Database Theory and Application 2014年第6期7卷 105-120页

作者： Shen, Jing Zhang, Jilin Wan, Jian Zhou, Li Jiang, Ming School of Computer Science and Technology Hangzhou Dianzi University Hangzhou Zhejiang China Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education China Zhejiang Provincial Engineering Center on Media Data Cloud Processing and Analysis Hangzhou China School of Information Engineering Hangzhou Dianzi University Hangzhou Zhejiang China

Stencils are finite-difference algorithms for solving large-scale and high-dimension partial differential equations. Due to the data dependences among the iterative statements in Stencils, traditional Stencil computations are be executed serially, rather than in parallel. It's challenging to design an effective and scalable Stencil parallelized method. To address the issue of 3D data space computing, we present a serial execution model based on multi-layers symmetric Stencil method and time skewing techniques. Within this model, the iteration space is divided to multiple tiles based on time skewing, where the executive process is ordered by the sequence of tiles, and the nodes in each individual tile can be swept repeatedly to improve the data locality. In addition, we propose a novel 3D iterative space alternate tiling Stencil parallel method, which subdivides the iteration space along high dimension, and changes the execution sequence of tiles to reduce the data dependency and communication cost, where the partial order of tiles is still guaranteed. Experimental results demonstrate our proposed alternative tiling parallel method achieves better parallel efficiency and scalability compared with the domain-decomposition methods.

关键词： Iterative methods

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