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A Novel Clustering Algorithm in Wireless Sensor networks

A Novel Clustering Algorithm in Wireless Sensor Networks

引用

International Conference on Industrial and information Systems, IIS

作者： Jiangpeng Dai Shu Liu Key Laboratory of Computer Network and Information Integration Ministry of Education School of Computer Science & Engineering South-East University Nanjing China

ISBN: (纸本)9781424439362

The demands of energy-efficient, distributed and scalable features are critical factors for designing topology control and routing management scheme in wireless sensor networks. To meet these demands, clustering is a good method in sensor networks topology control and routing. But by analyzing former clustering algorithms, it is found that there are deficiencies and limitations because of the usage of random method in cluster head election. In this paper, clustering mechanism is modeled and analyzed theoretically, and then turned to approximate optimization problem. A novel heuristic information based clustering algorithm is proposed to solve the above problem. The performance of this novel algorithm is analyzed and validated by simulation experiments. The results of experiments indicate that the algorithm can conduct clustering in network well and obtain excellent network performance, such as improved robustness, lower global energy cost and longer network lifetime. In particular, the performance is still stable while increasing the nodes scale.

关键词： Clustering algorithms Wireless sensor networks network topology Routing Algorithm design and analysis Energy efficiency Energy management Nominations and elections Performance analysis Analytical models

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A Reputation-Based Trust Model for P2P Systems

A Reputation-Based Trust Model for P2P Systems

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International Conference on Computational Intelligence and Security

作者： Peng Wu Guoxin Wu Key Laboratory of Computer Network and Information Integration Ministry of Education School of Computer Science and Engineering South-East University Nanjing China

ISBN: (纸本)9781424454112

One of the fundamental challenges for Peer to Peer (P2P) systems is the ability to manage risks involved in interacting and collaborating with prior unknown and potentially malicious parties. Reputation-based trust management systems have proven to be essential to enforcing cooperative behavior in P2P networks. However, in many existing reputation-based trust models, the validity of peers' trust valuation is seriously affected by peers' malicious behaviors, such as strategic cheating, dishonest recommending and collusion. In this paper, we propose a novel reputation-based trust model for P2P systems. In our approach, the trustworthiness of peers consists of the experience-based and recommendation-based trust. To provide adequate reaction to peers' malicious behaviors, some factors are introduced to distinguish these experiences about peers' behaviors. Simulation shows that the proposed model has advantages in countering peers' malicious behaviors over the existing trust models.

关键词： Peer to peer computing computer network management Feedback Predictive models Computational intelligence computer security information security Laboratories computer science education Systems engineering education

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A SOA Based Framework of Service Ability Description and Selection Methods for Application Integration in Manufacturing Domain

A SOA Based Framework of Service Ability Description and Sel...

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International Conference on Interoperability for Enterprise Software and Applications China, IESA

作者： Weihua Huang Xiaoping Li School of Computer Science & Engineering Key Laboratory of Computer Network and Information Integration Ministry of Education South-East University Nanjing China

In this paper, an SOA based framework for service ability description and selection methods is proposed for the application integration in manufacturing domain. A uniform and standard schema is introduced to accurately describe both user requirements and service abilities. Services are organized and classified by an index tree, by which the service ability matching procedure which is the key of service selection can be simplified. An effective matching algorithm is presented along with the matching degree definition and calculation. The entire framework is implemented.

关键词： Service oriented architecture Application software Pulp manufacturing computer aided manufacturing computer integrated manufacturing Classification tree analysis computer science Laboratories computer networks computer science education

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Access model of web users based on multi-chains hidden Markov models

Access model of web users based on multi-chains hidden Marko...

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作者： Zheng, Kangfeng Yang, Yixian Wang, Xiujuan Guo, Shize Key Laboratory of Network and Information Attack and Defence Technology MOE Beijing University of Posts and Telecommunications Beijing China College of Computer Sciences Beijing University of Technology Beijing China No. 54 Research Institute of the General Staff PLA Beijing China

ISBN: (纸本)9780769540276

How to distinguish abnormal access from normal ones is the key problem in Distribution Denial of service(DDoS) attack detection. This research aims at finding out the major difference between the abnormal access and the normal ones in application layer. To this end , the paper conducts modeling on Web users' access behaviors based on hidden Markov model(HMM) with multiple chains and puts forward a method to identify abnormal access. Tests on simulation data indicate that this model can undo Web users access to a certain degree and discern the abnormal access well. © 2010 IEEE.

关键词： Hidden Markov models

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Reputation Mechanism in Peer-to-Peer network

Reputation Mechanism in Peer-to-Peer Network

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International Conference on information Science and Engineering (ICISE)

作者： Peng Wu Guoxin Wu Key Laboratory of Computer Network and Information Integration Ministry of Education School of Computer Science and Engineering South-East University Nanjing China

ISBN: (纸本)9781424449095

Peer-to-Peer (P2P) technology has been widely used in file-sharing, distributed computing, e-market and information management. However, one of the critical challenges for P2P systems is the ability to manage risks involved in interacting and collaborating with prior unknown and potentially malicious peers. Reputation systems can successfully minimize the potential damages to the P2P systems by computing the trustworthiness of a certain peer from that peer's behavior history. In this paper, we give a brief survey of researches on reputation mechanism in P2P network. Firstly the fundamentals of reputation mechanism are introduced. By investigating the reputation systems in P2P network, we outline several key technologies of reputation mechanism. Finally we put forward the essential design principles of the ideal reputation mechanism.

关键词： Peer to peer computing Collaboration information management Risk management information science Laboratories computer network management computer science education computer science Educational technology

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A static method for detection of information theft malware

A static method for detection of information theft malware

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2nd International Symposium on Electronic Commerce and Security, ISECS 2009

作者： Li, JiaJing Wei, Tao Zou, Wei Mao, Jian Key Laboratory of Network and Software Security Assurance Ministry of Education Peking University Beijing 100871 China Institute of Computer Science and Technology Peking University Beijing 100871 China Department of Electronic and Information Engineering BeiHang University Beijing 10083 China

ISBN: (纸本)9780769536439

Existing techniques based on behavior semantics for information theft malware detection have the main shortcomings of low path coverage and disability of finding hidden malicious behaviors. In this paper we propose a static method for the detection of information theft malware to overcome these shortcomings. It is particularly efficienct for inter-procedure taint analysis, and it is suitable for complicated malware detection, such as Trojan and Bot. Its static style makes it able to find hidden malicious behaviors. We also present an implementation of our method that works on x86 executables and a set of experimental studies validate its good efficiency and effectiveness. © 2009 IEEE.

关键词： Malware

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Statistical Analysis of Trust Overlay network

Statistical Analysis of Trust Overlay Network

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International Seminar on Future information Technology and Management Engineering, FITME

作者： Zhong Zhu Guoxin Wu Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of Education South-East University Nanjing China

A TON (trust overlay network) is a virtual network on top of the underlying distributed application network, which is a directed and weighted complex network. A detailed understanding of the structural properties of TON topology will benefit the accurate grasp of the trust formation mechanism and management model and the effect on underlying distributed application network, in order to make better use of trust relationships (also called "soft security") to solve security issues of large-scale distributed application system. Based on P2P service network model with the property of small world, two algorithms for generating TON were proposed, which was implemented on the Repast simulation system. The simulation results and analysis suggest the TON fits power-law distribution ( ¿ ¿ (1,4)) in in-degree, outdegree, global trust value and local trust value, which shows a TON has a scale-free networks characteristics.

关键词： Statistical analysis Peer to peer computing Application software computer network management network topology Power system security Analytical models Distributed computing information technology Conference management

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Efficient Mining of Strong Negative Association Rules in Multi-Database

Efficient Mining of Strong Negative Association Rules in Mul...

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International Conference on Computational Intelligence and Software Engineering (CiSE)

作者： Hong Li Xuegang Hu Key Laboratory of Network and Intelligent Information Processing Department of Computer Science and Tchnology Hefei University Hefei China School of Computer & Information Hefei University of technology Hefei China

Strong negative association rules can reveal irrelevances hidden between frequent itemsets. Existing research has made significant efforts in discovering both positive and negative association rules from single database. This paper presents an efficient method for mining strong negative association rules in multi-database. The method produces some strong negative relational patterns (a kind of infrequent itemsets) by pruning and scanning constructed multi-database frequent pattern tree, and extracts strong negative association rules according to the proposed correlation model. The experimental results show the effectiveness and efficiency of the proposed algorithm.

关键词： Data mining Association rules Itemsets Transaction databases Decision making Laboratories Intelligent networks information processing computer science Relational databases

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A novel mining Method of Global Negative Association Rules in Multi-Database

A novel mining Method of Global Negative Association Rules i...

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IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS)

作者： Hong Li Yijun Shen Xuegang Hu Key Laboratory of Network and Intelligent Information Processing Department of Computer Science and Technology Hefei University of Technology Hefei China School of Computer & Information Hefei University of technology Hefei China

ISBN: (纸本)9781424447374;9781424447541

Mining negative association rules in multi-database has attracted more and more attention. Most existing research focuses on unifying all negative rules discovered from different single databases into a single view. This paper presents a novel method for mining global negative association rules in multi-database. This method produces some infrequent itemsets of potential interest by scanning constructed multi-database frequent pattern tree, and extracts negative association rules of interest according to the proposed correlation model from multi-database. Experimental results show the effectiveness and efficiency of the proposed algorithm.

关键词： Data mining Association rules Itemsets Transaction databases Application software Laboratories Intelligent networks information processing computer science Tires

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Improvement of MODIS 8-day LAI/FPAR product with temporal filters to generate high quality time-series product

Improvement of MODIS 8-day LAI/FPAR product with temporal fi...

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2009 Joint Urban Remote Sensing Event

作者： Huifang, Zhang Runhe, Shi Honglin, Zhong Peiqing, Qu Juan, Sun Wenpeng, Lin Su, Li Key Lab. of Geographic Information Science Ministry of Education East China Normal University Shanghai China Key Laboratory of Ecosystem Network Observation and Modeling IGSNRR CAS Beijing China Key Lab. of Urban Ecology and Environment Restoration Shanghai Normal University Shanghai China Computer College Beijing Technology and Business University Beijing China

ISBN: (纸本)9781424434619

Numerous studies have reported that the timeseries terrestrial parameters such as the Normalized Difference Vegetation Index (NDVI), Leaf Area of Index (LAI), Fraction of Absorbed Photosynthetic Active Radiation (FPAR), derived from NOAA/AVHRR, SPOT/VEGETATION, TERRA or AQUA/MODIS, have played significant roles in researching the global environment, terrestrial ecosystems and related ecological researches. However, the remotely sensed signals are interfered severely by atmospheric conditions especially clouds and such noises exists in the time-series products as well. Therefore, to obtain a high quality time-series of terrestrial parameter is a necessary step before further studies. At present several methods have been applied to reduce the noise to construct a fine time-series of NDVI, but few studies concerning the other key terrestrial parameters, such as LAI, FPAR etc. In this paper, after comparing general methods in literatures, we designed a new method based on the Savitzky-Golay filter, which was applied to improve the quality of MODIS 8-Day LAI/FPAR Product to generate timeseries of LAI and FPAR with high quality. Our validation results indicate that more smooth and realistic time-series curves of LAI/FPAR can be obtained by using this new method, which exemplify the dynamic change of forests, crop or plants and key input parameters in modeling the complex land surface processing. ©2009 IEEE.

关键词： Time series

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