检索结果-内蒙古大学图书馆

Node-based sampling P2P bot detection

Telkomnika 2012年第5期10卷 1117-1122页

作者： Yin, Chunyong Sun, Ruxia Yang, Lei Dariuslko School of Computer and Software Nanjing University of Information Science and Technology Nanjing 210044 China Jiangsu Key Laboratory of Meteorological Observation Information Processing Nanjing University of Information Science and Technology Nanjing 210044 China

The concept of using node-based sampling for the treatment of packet capture mechanism based on Libpcap of network-based detecting Peer-to-Peer botnet process was tested, and its effect on the time window of feature extracting and sampling time interval was explored. Node-based sampling treatment resulted in significant increase in the detection performance due to node profile of the novel behaviors to the detected computer in Peer-to-Peer bot detection, and the degradation of false positive. At relatively right time window (e.g., about 180s), precision was completely maximized, while the false positive decreased by 10% to 15%. The detection rate can be significantly increased due to the false positive degradation. A new performance index called Comprehensive Evaluation Index is proposed for more clearly represent the effectiveness. Sampling can reduce more than 60% input raw packet traces and achieve a high detection rate (about 99%) and a low false positive rates (0-2%). © 2012 Universitas Ahmad Dahlan.

关键词： Botnet

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A survey on video-based vehicle behavior analysis algorithms

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Journal of Multimedia 2012年第3期7卷 223-230页

作者： Wu, Jian Cui, Zhi-Ming Chen, Jian-Ming Zhang, Guang-Ming The Institute of Intelligent Information Processing and Application Soochow University Suzhou 215006 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou 215006 China Jiangsu Yihe Traffic Engineering Co. Ltd Suzhou 215002 China

Analysis of the Vehicle Behavior is mainly to analyze and identify the vehicles' motion pattern, and describe it by the use of natural language. It is a considerable challenge to analyze and describe the vehicles' behavior in a complex scene. This paper first hackles the development history of the intelligent transportation system and analysis of vehicles' behavior, and then conducts an indepth analysis of current situation of vehicle behavior analysis from the video processing, video analysis and video understanding, summarizes the achieved results and the key technical problems, and prospects the future development of vehicle behavior analysis. © 2012 ACADEMY PUBLISHER.

关键词： Video signal processing

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Fuzzy inference mechanism based automatic elastic registration of two-dimensional gel electrophoresis images

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information technology Journal 2012年第1期11卷 20-29页

作者： Pan, Yonghui Deng, Zhaohong Wang, Shitong Gao, Qun Jiangsu Engineering R and D Center for Information Fusion Software Jiangsu Jiangyin 214405 China School of Digital Media Jiangnan University Lihu Avenue 1800 Wuxi Jiangsu 214122 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Jiangsu Suzhou 215123 China

A key technique for protein analysis is the geometric alignment of two-dimensional polyacrylamide gel electrophoresis (2-D PAGE), i.e., 2-D PAGE image registration. In this study, the adaptability in elastic image registration was emphasized. According to the characteristics of 2-D gel image registration, a fuzzy-inference-rule based flexible model (FIM-FM) is proposed to model the complex transformation between 2-D gel image pairs. By introducing the concept of motion estimation, the parameter learning rules of the proposed model are derived for registration. The experiments show that the proposed algorithm is highly effective for registration of 2-D gel images and is competitive to the existing state-of-the-art algorithms. © 2012 Asian Network for Scientific information.

关键词： Image registration

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Fast template matching with partial skipping using sub-template

Fast template matching with partial skipping using sub-templ...

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2012 3rd IEEE/IET International Conference on Audio, Language and Image processing, ICALIP 2012

作者： Zhang, Qiao Gao, Huijie Kang, Zhen State Key Lab. of Multi-spectral Information Processing Technology Institute for Pattern Recognition and Artificial Intelligence Huazhong Univ. of Sci. and Tech. Wuhan 430074 China School of Mathematic and Computer Science Wuhan Polytechnic University Wuhan 430023 China

ISBN: (纸本)9781467301718

This paper presents a new fast template matching method with partial skipping using sub-template. In this method, we use sub-template to search point by point in the current searched window, and compare every SAD with threshold, if some SAD exceeds the threshold, set the new threshold equal to this SAD value and this point is one potential optimization location, when all points in the current window are compared, we will get a minimum value and a optimization location, then skip the other points whose SAD is not the minimum value. In other words, the searching step is that template size subtracts the subtemplate size, and we set the next threshold equal to the current optimization SAD value, we update the threshold and the optimal point until the end of the searched image like this, then will find the global minimum points and its SAD value. Experimental results show that the proposed method is near one hundred times faster than the conventional template match method. © 2012 IEEE.

关键词： Global optimization

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Parallel implementation of apriori algorithm based on MapReduce

Parallel implementation of apriori algorithm based on MapRed...

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13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, SNPD 2012

作者： Li, Ning Zeng, Li He, Qing Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University Chinese Academy of Sciences Beijing 100139 China Key Lab. of Machine Learning and Computational Intelligence College of Mathematics and Computer Science Hebei University Baoding 071002 Hebei China

ISBN: (纸本)9780769547619

Searching frequent patterns in transactional databases is considered as one of the most important data mining problems and Apriori is one of the typical algorithms for this task. Developing fast and efficient algorithms that can handle large volumes of data becomes a challenging task due to the large databases. In this paper, we implement a parallel Apriori algorithm based on MapReduce, which is a framework for processing huge datasets on certain kinds of distributable problems using a large number of computers (nodes). The experimental results demonstrate that the proposed algorithm can scale well and efficiently process large datasets on commodity hardware. © 2012 IEEE.

关键词： MapReduce

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A method for the WSN channel modeling via stochastic differential equations and its applications

A method for the WSN channel modeling via stochastic differe...

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International Conference on Wireless Communications and Signal processing (WCSP)

作者： Liulei Zhou Luoquan Hu Yiming Wang Jia Hou Shuqi Liu School of Electronics and Information Engineering Provincial Key Laboratory for Computer Information Processing Technology Soochow University China Soochow University Suzhou Jiangsu CN School of Electronics and Information Engineering Soochow University China

ISBN: (纸本)9781467358309

Exponential correlated random variables are generated by stochastic differential equations (SDEs), which are described by Markov diffusion processes. Under the assumption of ergodicity of stochastic process, the stationary distribution of Markov diffusion process is introduced, which is determined by drift and diffusion coefficient. We choose the drift coefficient as a linear function. The drift coefficient can be derived directly from diffusion coefficient and aimed probability density function (pdf). As a result, a generalized method for the generation of exponential correlated random variables is determined. We compare the different diffusion coefficients of Markov model. The new diffusion coefficient model can be used in Milstein high order method and the corresponding algorithm is more robust. The correlation of the random samples can be adjusted through changing a single parameter of diffusion coefficient. The generation of approximately uniformly distributed random variables with exponential correlation is introduced as an example of generating random variables with a specified pdf and correlation function, where there is no determined closed form expression of the pdf. Simulation results validate the accuracy and the effectiveness of this method.

关键词： wireless sensor network stochastic model fading channel diffusion process correlation Diffusion processes diffusion coefficient Wireless sensor networks Fading channels Random variable Stochastic models stochastic differential equation stochastic derivative drift drift channel modeling Markov random sample

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Generalized geometry-based optimal power control in wireless networks

Generalized geometry-based optimal power control in wireless...

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2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2012

作者： Wang, Wei Shin, Kang G. Zhang, Zhaoyang Wang, Wenbo Peng, Tao Department of Information Science and Electronic Engineering Zhejiang Provincial Key Laboratory of Information Network Technology Zhejiang University Hangzhou 310027 China Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109-2121 United States Wireless Signal Processing and Networking Lab Beijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9781467319058

Geometry-based optimal power control was proposed in [14] to transform the power-control problem to a new geometrical problem on the position relationship between a line and some points. This scheme provides a novel visual perspective and lowers the complexity of optimization. We generalize this scheme to a larger class of power-control optimization problems so as to maximize the network utility with multiple average and peak power constraints in wireless networks. To facilitate the handling of the geometrical model, we define a subset of geometrical models with specified characteristics, called a regular geometrical model, and derive the type of power-control problems eligible for the regular geometrical model. For such a type of problems, two strategies are proposed for the construction of the regular geometrical model. Utilizing geometrical properties, we propose a novel geometry-based optimization scheme for the general power-control problem. Its computational complexity is significantly lower than the conventional algorithms. We also provide a further discussion on irregular geometrical model cases. Finally, we provide two examples of deploying the proposed geometry-based power-control scheme. © 2012 IEEE.

关键词： Geometry

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An efficient two-stage level set segmentation framework for overlapping plant leaf image

An efficient two-stage level set segmentation framework for ...

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8th International Conference on Intelligent Computing technology, ICIC 2012

作者： Wang, Xiao-Feng Min, Hai Key Lab. of Network and Intelligent Information Processing Department of Computer Science and Technology Hefei University Hefei Anhui 230022 China Intelligent Computing Lab. Hefei Institute of Intelligent Machines Chinese Academy of Sciences P.O.Box 1130 Hefei Anhui 230031 China Department of Automation University of Science and Technology of China Hefei Anhui 230027 China

ISBN: (纸本)9783642315879

In this paper, an efficient two-stage segmentation framework was proposed to address the plant leaf image with overlapping phenomenon, which is built based on the leaf approximate symmetry and level set evolution theory. In the pre-segmentation stage, a straight line was manually set on the target leaf to approximate the principal leaf vein and the Local Chan-Vese (LCV) model was used on the global image region to help searching the so-called un-overlapping contour in target leaf. In the formal segmentation stage, the symmetry detection was performed based on the pre-defined approximated principal vein to obtain the narrow-band evolution region and the second initial contour. Next, the LCV model was once again used to find the complete target leaf contour in the narrow-band evolution region. Finally, experiments on some real leaf images with overlapping phenomenon have demonstrated the efficiency and robustness of the proposed segmentation framework. © 2012 Springer-Verlag.

关键词： Image segmentation

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Irregular community discovery for cloud service improvement

Irregular community discovery for cloud service improvement

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作者： Liu, Jin Zhou, Jing Wang, Junfeng Zhang, Feng Liu, Fei State Key Lab. of Software Engineering Wuhan University Wuhan 430072 China Lab. of Complex Systems and Intelligence Science Institute of Automation CAS Beijing 100190 China State Key Lab. for Novel Software Technology Nanjing University Nanjing China School of Computer Science Communication University of China Beijing 100024 China Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS Beijing 100190 China College of Computer Science Sichuan University Chengdu 610064 China Software School Sun Yat-sen University Guangzhou 510006 China

Utility services provided by cloud computing rely on virtual customer communities forming spontaneously and evolving continuously. Clarifying the explicit boundaries of these communities is thus essential to the quality of utility services in cloud computing. Communities with overlapping features or prominent peripheral vertexes are usually typical irregular communities. Traditional community identification algorithms are limited in discovering irregular topological structures from CR networks, whereas these irregular shapes typically play an important role in finding prominent customers which are ignored in social CRM otherwise. We present a novel method of discovering irregular communities. It firstly finds and merges primitive maximal cliques and the irregular features of overlapping and prominent sparse vertices are further considered. An empirical case and a methodology comparison confirm the feasibility and efficiency of our approach. © 2012 Springer Science+Business Media, LLC.

关键词： Cloud computing

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An efficient coverage control algorithm for three-dimensional underwater sensor networks

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Advances in information Sciences and Service Sciences 2012年第10期4卷 393-399页

作者： Xiao, Fu Yang, Yang Sun, Li Wang, Ruchuan Nanjing University of Posts and Telecommunications Nanjing 210003 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou 215006 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing 210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing 210003 China

Strategy of sensor nodes deployment is directly related to the cost and performance for underwater wireless sensor networks, which is largely determined the various service-quality improvement of wireless sensor networks. In order to improve the coverage of the target area, this paper presents a distributed algorithm of coverage control. Assume that nodes initially deployed on the surface of the water and can only move in vertical direction in 3-D space, the algorithm is first to control the nodes in-depth and relocate the nodes at different depths, then the nodes continue to adjust their depths until there is no augment for improving their coverage, and to achieve efficient coverage of the three-dimensional sensor networks ultimately. Experimental results show that compared with traditional random deployment method, the proposed coverage control algorithm can improve coverage of network effectively.

关键词： Quality control

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