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International Conference on Computational Intelligence and Software Engineering (CiSE)

作者： Feng Guo Yingzhen Yang Lian Duan Pervasive Computing lab College of Computer Science University of Zhejiang Hangzhou China State Key Laboratory of CAD&CG University of Zhejiang China Department of Management Science Henry B. tippie College of Business University of Iowa Iowa USA

Intrusions impose serious security threat to network environment, so it is necessary to detect and cope with them. Many intrusion detection methods focus on signature detection, where models are built to recognize known attacks. However, signature detection, limited by its nature, cannot detect novel attacks. New intrusion types, of which detection systems may not even be aware, are difficult to detect. Anomaly detection focuses on modeling the normal behavior and identifying significant deviations, which could be novel attacks. In this paper we present a clustering algorithm to identify outliers. It performs clustering on feature vectors collected from the network and can automatically detect new types of intrusions without need of manual classification of training data. Experimental results show that our system achieves a satisfactory intrusions detection rate while keeping the false positive rate reasonably low.

关键词： Intrusion detection Event detection Clustering algorithms Internet Educational institutions Cities and towns Pervasive computing computer science computer network management Environmental management

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Loss temporal dependency characteristic inference in wireless sensor network

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Journal of Computational Information Systems 2008年第5期4卷 2303-2308页

作者： Li, Yongjun Ji, Wenli Dai, Yafei Computer Networks and Distributed Systems Laboratory Peking University Beijing 100871 China School of Computer Science Northwestern Polytechnical University Xi'an 710072 China School of Communication Engineering Xi'an University of Science and Technology Xi'an 710075 China State Key Lab. for Adv. Opt. Commun Syst and Networks Beijing 1000871 China

The internal link loss characteristic inference has become an increasingly important issue for operating and evaluating a wireless sensor network. Due to the inherent stringent bandwidth and energy constraints, it is usually impractical to directly collect link loss statistical data from each node in sensor network. Here we consider the problem of inferring the internal link loss characteristics from end-to-end measurement. We use the Gilbert error model to model the sensor link losses, formulate the problem of link loss characteristics estimation as a Bayesian inference problem, and propose a Markov Chain Monte Carlo (MCMC) algorithm to solve it. The simulation shows that the link loss performance parameters can be inferred accurately, and the proposed algorithm scales well according to the sensor network size. © 2008 Binary Information Press.

关键词： Inference engines

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Loss cumulate generating function inference and application in wireless sensor network

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Journal of Computational Information Systems 2008年第4期4卷 1399-1407页

The internal link loss characteristic inference has become an increasingly important issue for operating and evaluating a wireless sensor network. Due to the inherent stringent bandwidth and energy constraints of sensors, it is usually impractical to directly monitor each node or link in wireless sensor network. We consider the problem of inferring the internal link loss characteristics from passive end-to-end measurement in this paper. Specifically, the link loss performance inference during the data aggregation is considered. Under the assumptions that the link losses are mutually independent, we elaborate a bias corrected link loss Cumulant Generating Function (CGF) algorithm. The simulation results show that the internal link loss CGF can be inferred accurately comparable to the sampled internal link loss CGF. At the end of this paper, we apply the result of internal link loss CGF inference to identify the lossy link in sensor network.

关键词： Sensor nodes

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A probabilistic approach to consistency checking for pervasive context

A probabilistic approach to consistency checking for pervasi...

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5th International Conference on Embedded and Ubiquitous Computing, EUC 2008

作者： Huang, Yu Ma, Xiang Tao, Xianping Cao, Jiannong Lu, Jian State Key Laboratory for Novel Software Technology Nanjing University Nanjing China Department of Computer Science and Technology Nanjing University Nanjing China Internet and Mobile Computing Lab. Department of Computing Hong Kong Polytechnic University Hong Kong Hong Kong

ISBN: (纸本)9780769534923

Context-awareness is a key issue in pervasive computing. Context-aware applications are prone to the context consistency problem, where applications are confronted with conflicting contexts and cannot decide how to adapt themselves. In pervasive computing environments, users are often willing to accept certain degree of context inconsistency, as long as it can reduce the consistency maintenance cost, e.g., query delay and battery power. However, existing consistency maintenance schemes do not enable the users to make such tradeoffs. To this end, we propose the Probabilistic Consistency Checking for Pervasive Context (PCCPC) algorithm. Detailed performance analysis shows that PCCPC enables the users to check consistency over arbitrarily specified ratio of context. We also conduct experiments to study the cost reduced by probabilistic checking. The analytical and the experimental results show that PCCPC enables the users to efficiently make tradeoffs between context consistency and the associated checking cost. © 2008 IEEE.

关键词： Ubiquitous computing

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A Deployable Architecture Against Application-level DDoS Attacks

A Deployable Architecture Against Application-level DDoS Att...

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The 9th International Conference for Young computer Scientists(第九届国际青年计算机大会)

作者： Xiaolin Chen Feng Wang Hui Deng Mu Mu Sanglu Lu Computer Science Department Chuxiong Normal University China State Key Laboratory of Novel Softwar Computer Appliance Key Lab of Yunnan Province China Computing Department Lancaster University United Kingdom State Key Laboratory of Novel Software Technology Nanjing University China

In application-level DDoS attacks, attackers mimic legitimate client behavior by sending proper-looking requests via bots. The previous DDoS solutions focus on bandwidth flooding attacks, and have encountered significant difficulty in deployment. This paper presents a deployable architecture that counts the application-level DDoS attacks against web servers by combining overlay and IP anycast. In this architecture, when a protected web server is under attacks, the traffic to the server will be redirected to an overlay via IP anycast. The overlay nodes provide effective protection to the server by the distributed filter, the distributed traffic control, and also by building a temporary collaborative edge web cache. We demonstrate that this novel architecture has strong incentives to deploy and is able to be deployed by a single ISP without any modifications to implementation of routers and end host. We then discuss its properties and design challenges.

关键词： computer crime Service oriented architecture Web server Protection Bandwidth Floods Information filtering Information filters Traffic control Buildings

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Study of software fault tolerance system evaluation strategy

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Wuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information science of Wuhan University 2008年第10期33卷 1018-1021页

作者： Liu, Xin Yin, Qian Guo, Ping Lab. of Pattern Recognition and Intelligent System Beijing Normal University 19 Xinjiekou Beijing 100875 China State Key Laboratory of Computer Science Institute of Software CAS 4 Zhongguancun Beijing 100080 China

Software fault tolerance technique is used to ensure high reliability. In order to evaluate the quality of fault-tolerant systems, expected execution time and cost must be considered. A new evaluation strategy is proposed to evaluate, evaluating the system with three groups of quality factors, which is the capability, the time and the cost. By using them, the system's integrative quality factor can be calculated. When applying this strategy, we compare the quality of software systems which is consist of different fault-tolerant components. The results can be used to improve fault-tolerant system. To achieve the required optimal result, several optimization schemes are given to meet different project demands.

关键词： Quality control

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Mesh-guided optimized retexturing for image and video

Mesh-guided optimized retexturing for image and video

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作者： Guo, Yanwen Sun, Hanqiu Peng, Qunsheng Jiang, Zhongding IEEE National Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China Department of Computer Science and Engineering Chinese University of Hong Kong Shatin N.T. Hong Kong State Key Lab. CAD and CG Zhejiang University Hangzhou 310058 China Software School Fudan University Shanghai 201203 China

This paper presents a novel approach for replacing textures of specified regions in the input image and video using stretch-based mesh optimization. The retexturing results have the similar distortion and shading effect conforming to the unknown underlying geometry and lighting conditions. For replacing textures in a single image, two important steps are developed: The stretch-based mesh parameterization incorporating the recovered normal information is deduced to imitate perspective distortion of the region of interest;the Poisson-based refinement process is exploited to account for texture distortion at fine scale. The luminance of the input image is preserved through color transfer in YCbCr color space. Our approach is independent of the replaced textures. Once the input image is processed, any new textures can be applied to efficiently generate the retexturing results. For video retexturing, we propose key-frame-based texture replacement extended and generalized from the image retexturing. Our approach repeatedly propagates the replacement results of key frames to the rest of the frames. We develop the local motion optimization scheme to deal with the inaccuracies and errors of robust optical flow when tracking moving objects. Visibility shifting and texture drifting are effectively alleviated using graphcut segmentation algorithm and the global optimization to smooth trajectories of the tracked points over temporal domain. Our experimental results showed that the proposed approach can generate visually pleasing results for retextured images and video. © 2008 IEEE.

关键词： Mesh generation

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JobGrid: Chinese College Graduates Employment Information Grid System

JobGrid: Chinese College Graduates Employment Information Gr...

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ChinaGrid Annual Conference (ChinaGrid)

作者： Feng Zhao Bin Zhou Xiaoxing Sun Hai Jin Song Wu School of Computer Science and Technology Huazhong University of Science & Technology Wuhan China Cluster and Grid Computing Lab Wuhan China The State Key Laboratory of Virtual Reality Technology and Systems Beijing China School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9780769533063

This paper proposes a realistic data grid system named JobGrid to construct information platform for Chinese college graduates employment, which supports centralized transaction processing to ensure consistent, effective operation in data access, control, monitor and analysis, and distributed data management to provide heterogeneous data integration, conversion, exaction and export. JobGrid has implemented global uniform view and massively heterogeneous data access, and provided efficiently data and transactions processing and cooperative control mechanism for distributed resource over grid.

关键词： Databases Educational institutions Distributed databases Servers Monitoring computer architecture Employment

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A Probabilistic Approach to Consistency Checking for Pervasive Context

A Probabilistic Approach to Consistency Checking for Pervasi...

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IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC

作者： Yu Huang Xiang Ma Xianping Tao Jiannong Cao Jian Lu State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing China Department of Computer Science and Technology Nanjing University Nanjing China Internet and Mobile Computing Lab Department of Computing Hong Kong Polytechnic University Hong Kong China

Context-awareness is a key issue in pervasive computing. Context-aware applications are prone to the context consistency problem, where applications are confronted with conflicting contexts and cannot decide how to adapt themselves. In pervasive computing environments, users are often willing to accept certain degree of context inconsistency, as long as it can reduce the consistency maintenance cost, e.g., query delay and battery power. However, existing consistency maintenance schemes do not enable the users to make such tradeoffs. To this end, we propose the probabilistic consistency checking for pervasive context (PCCPC) algorithm. Detailed performance analysis shows that PCCPC enables the users to check consistency over arbitrarily specified ratio of context. We also conduct experiments to study the cost reduced by probabilistic checking. The analytical and the experimental results show that PCCPC enables the users to efficiently make tradeoffs between context consistency and the associated checking cost.

关键词： Pervasive computing Context Costs Embedded computing Application software Performance analysis Context-aware services Ubiquitous computing laboratories Embedded software

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Water color component analysis in saltwater intrusion reach - A case study in Shawan-Humen Watercourse, Pearl River Estuary

Water color component analysis in saltwater intrusion reach ...

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Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China

作者： Fang, Li-Gang Chen, Shui-Sen Li, Dan Zhang, Lixin Li, Dong Department of computer engineering Suzhou Vocational University Suzhou 215104 China Public Lab of Environment Science and Technology Guangdong Province Guangzhou Institute of Geography Guangzhou 510070 China State Key Laboratory of Remote Sensing Science Chinese Academy of Sciences Beijing 100875 China Beijing Normal University Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing 100875 China Water Supply Corporation of Panyu District Guangzhou 511400 China College of Informatics South Agriculture University Guangzhou 510640 China

The saline water color component characteristic (chlorophyll-a and chromophoric dissolved organic matter (CDOM)) and their spatial change tendency in the Pearl River Estuary from the In-situ data in December of 2006 was studied. Based on the experimental results, the mixing behavior of CDOM in the Shawan-Humen Watercourse was analyzed. The mixing behavior was controlled by topography, hydrological and biological factors, and the relationships among absorption characteristics of CDOM (at 400 nm, ag400). Contained is a discussion of chlorophyll-a concentration and salinity. The chlorophyll-a concentration decreases with increasing CDOM absorption under a salinity of 10, while the chlorophyll-a concentration decreases with increasing salinity. The salinity is becomes less aggressive towards the Lingding Bay in the saltwater intrusion reach of Shawan-Humen, and a low chlorophyll-a concentration area occurs in the Shiziyang riverway where the salinity is greater than 20. The highest chlorophyll-a concentration of surface water was observed in the Dadaoshawei site of the Shawan tributary reach- where the saltwater and freshwater interface. The slope distribution of the CDOM spectral absorption curve in the Shawan-Humen watercourse was increased towards the Lingding Bay direction. The spectral slope S value of CDOM varied from 0.0107 to 0.0121 nm-1 with an average value of 0.0116 nm-1. This was an indication that the terrestrial river input was the main resource of CDOM in the Shawan-Humen watercourse. The high correlation (R2=0.9458) of surface water and bottom water (-7.5m) salinity showed that salinity can be monitored by remote sensing. The ag400 in the saltwater intrusion reach showed conservative behavior, indicating strong characteristics of the CDOM it reflected. There was a correlative relationship between ag400, chlorophyll-a concentration and the salinity, showing that a water color analysis technique can be used to study the distribution and behavior of salinit

关键词： Remote sensing

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