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An Authenticated Dynamic key Management Scheme for Clustered Sensor networks

China Communications 2010年第4期7卷 7-17页

作者： ZHOU Yajian PAN Anwei LI Jiguo Information Security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and Telecommunications Beijing 100876 China Key Laboratory of Network and Information Attack and Defence Technology of MOE Beijing University of Posts and Telecommunications Beijing 100876 China National Engineering Laboratory for Disaster Backup and Recovery Beijing University of Posts and Telecommunications Beijing 100876 China College of Computer ＆ Information Engineering Hohai University Nanjing 210098 China

Secure sensor networks has received much attention in the last few years.A sensor network always works unattended possibly in a hostile environment such as a *** such environments,sensor networks are subject to node *** energy,memory,and computational capabilities of sensor nodes mandate a clever design of security solutions to minimize overhead while maintaining secure communication over the lifespan of the *** this paper,an authenticated dynamic key management scheme,ADKM has been *** provides efficient,scalable,and survivable dynamic keying in a clustered sensor network with a large number of sensor *** employs a combinatorial exclusion basis system (EBS) for efficiency and one-way hash chains for *** of security and performance demonstrate that ADKM is efficient in security of sensor networks.

关键词： Wireless Sensor networks key Management Exclusion Basis Systems One-way Hash Chain

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Efficient and identity-based signcryption with provably-secure

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content technology and its Applications 2010年第7期4卷 148-153页

作者： Wen, Yiling Ma, Jianfeng Moon, Sangjae Key Laboratory of Computer Networks and Information Security of Ministry of Education Xidian University Xi'an China Mobile Network Security Technology Research Center Kyungpook National University Daegu 702-701 Korea Republic of

The idea of signcryption is to provide a method to encrypt and sign data together, so it is more efficient than using an encryption scheme combined with a signature scheme. We present an identity-based signcryption solution, which is one of the most efficient, provably-secure schemes proposed to date. Our scheme admits provable security in the random oracle model under the bilinear Diffie-Hellman assumption using the definitions proposed by Boyen and it is also forward secure.

关键词： Cryptography

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Nova: A Robustness-oriented Byzantine Fault Tolerance Protocol

Nova: A Robustness-oriented Byzantine Fault Tolerance Protoc...

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The Ninth International Conference on Grid and Cloud Computing(第九届网格与云计算国际学术会议 GCC 2010)

作者： Xiang Pei Yongjian Wang Zhongzhi Luan Sino-German Joint Software Institute School of Computer Science and Engineering Beihang University 100191 Beijing Beijing Key Laboratory of Network Technology Beihang University 100191 Beijing

With the increased complexity, malicious faults have become an important reasons that affect the reliability of the distributed system, especially the web-scale infrastructures, i.e. Amazon S3, Google AppEngine etc. Most such systems assume benign fault model which can't depict the malicious actions. The goal of Byzantine Fault Tolerance protocol (BFT for short) is to mask the malicious behaviors and it has been proved that some new proposed BFTs are suitable to support practical applications. But these BFTs still lack in robustness, a simple fault injection may cause significantly decrease in throughput or run in low throughput without violating the BFT safety property. We propose a new robustness-oriented BFT named Nova. Experiments show Nova has comparable throughput as PBFT in normal case and behave stably under the malicious attack. Compared with other BFTs, Nova can support practical applications more effectively.

关键词： Byzantine Fault Tolerance Equivocation Robustness

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A new kind of adaptive weighted median filter algorithm

A new kind of adaptive weighted median filter algorithm

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International Conference on computer Application and System Modeling

作者： Wang, Chang-You Li, Lin-Lin Yang, Fu-Ping Gong, Hui College of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing 400065 China Key Laboratory of Network Control and Intelligent Instrument Chongqing University of Posts and Telecommunications Ministry of Education Chongqing 400065 China College of Mathematics and Physics Chongqing University of Posts and Telecommunications Chongqing 400065 China College of Automation Chongqing University of Posts and Telecommunications Chongqing 400065 China

ISBN: (纸本)9781424472369

Aimed at the excellence and shortcoming of the standard median filtering algorithm and the adaptive median filtering algorithm as well as center weighted median filtering algorithm, a new adaptive weighted median filtering algorithm is proposed in this paper. The new algorithm first takes a decision whether the pixel under test is noise or not by comparing the block uniformity of the 3×3 window with one of the entire image, then adjusts the size of filtering window adaptively according to the number of noise points in the window. Finally the noise is removed by means of ameliorated median filtering algorithm. Experimental results clearly indicate that the proposed method has a better filtering effect than the existing methods such as standard median filter, adaptive median filter in terms of visual quality and quantitative measures. © 2010 IEEE.

关键词： Image reconstruction

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Signal pre-processing method suitable for compressive sensing based on frequency modulation

Signal pre-processing method suitable for compressive sensin...

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International Conference on Signal Processing Proceedings (ICSP)

作者： Ruizhen Zhao Baogui Wang Wanjuan Lin Shaohai Hu Mingui Sun Institute of Information Science Key Laboratory of Advanced Information Science and Network Technology of Beijing Beijing Jiaotong University Beijing China Department of Electrical and Computer Engineering Laboratory of Computational Neuroscience University of Pittsburgh Pittsburgh PA USA

The sparse property of the signal to be processed is very important and directly affects the efficiency of compressive sensing. A signal pre-processing method suitable for compressive sensing is given, which is helpful to effective sensing and accurate reconstruction. Under the condition that the sparse characteristic of the signal is unknown, a frequency modulation pattern is introduced to pre-process the signal to increase the sparse proportion of the signal. Then we choose a difference matrix as the reconstruction matrix, the signal could be reconstructed accurately in the process of sparse reconstruction. Theoretical analysis and experimental results show that the proposed pre-processing method for compressive sensing is very effective and efficient.

关键词： Sparse matrices Compressed sensing Frequency modulation Discrete cosine transforms Sensors Image reconstruction

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An executable business model for generic web applications

An executable business model for generic web applications

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computer Information Systems and Industrial Management Applications (CISIM)

作者： Zhenxiang Chen Bo Yang Kun Ma Runyuan Sun Ajith Abraham Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Ji''nan Jinan China School of Computer Science and Technology Shandong University Jinan China Scientific Network of Innovation and Research Excellence Machine Intelligence Research Laboratories USA

In this paper, a novel platform-specific executable business model called xBM is proposed to sufficiently represent the business logic process. The metamodel of xBM have been analysed, formalised and illustrated. Traditional version control idea based on the copy-modify-merge approach is also applied in xBM. Moreover, our approach for model development approach based on xBM is presented for generic web applications. Finally a case study of simplified Provincial Excellent Academic Degree Thesis Review System is demonstrated how to build xBMs and transform them into the final system.

关键词： Unified modeling language Business Book reviews Educational institutions Computational modeling Data models

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A Discriminative Model for Mongolian-English Word Alignment

A Discriminative Model for Mongolian-English Word Alignment

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Chinese Conference on Pattern Recognition (CCPR)

作者： Guanhong Zhang Odbal Department of Computer Science and Technology Key Laboratory of Network and Intelligent Information Processing Hefei University Hefei Anhui China Hefei Institutes of Physical Science Chinese Academy and Sciences Hefei Anhui China

In this paper we have developed a discriminative word alignment method using the liner CRF model for Mongolian-English language pair. Discriminative approaches have the ability to use large variety of features flexibly and to combine information from various sources. According to the differences between Mongolian and English, we discuss and select the different features, and experiments on Mongolian-English task demonstrate our word alignment model's superiority in performance over the popular GIZA++.

关键词： Data models Hidden Markov models Computational modeling Computational linguistics Gold Entropy Natural language processing

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Evaluation of a Performance Model of Lustre File System

Evaluation of a Performance Model of Lustre File System

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ChinaGrid Annual Conference (ChinaGrid)

作者： Tiezhu Zhao Verdi March Shoubin Dong Simon See Guangdong Key Laboratory of Computer Network South China University of Technology Guangzhou China Asia-Pacific Science and Technology Center (APSTC) Sun MicroSystems Inc. Singapore Department of Computer Science National University of Singapore Singapore Department of Mechanical & Aerospace Engineering Nanyang Technological University Singapore

As a large-scale global parallel file system, Lustre file system plays a key role in High Performance Computing (HPC) system, and the potential performance of such systems can be difficult to predict because the potential impact to application performance is not clearly understood. It is important to gain insights into the deliverable Lustre file system IO efficiency. In order to gain a good understanding on what and how to impact the performance of Lustre file system. This paper presents a study on performance evaluation of Lustre file systems and we propose a novel relative performance model to predict overhead under different performance factors. In our previous experiments, we discover that different performance factors have a closed correlation. In order to mining the correlations, we introduce relative performance model to predict performance differences between a pair of Lustre file system equipped with different performance factors. On average, relative model can predict bandwidth within 17%-28%. The results show our relative prediction model can obtain better prediction accuracy.

关键词： File systems Performance evaluation Predictive models Correlation Bandwidth Sun Synthetic aperture sonar

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Neural network modeling on evolution of hydration reaction for Portland cement

Neural network modeling on evolution of hydration reaction f...

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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Lin Wang Bo Yang Yuehui Chen Xiuyang Zhao Jun Chang Haiyang Wang School of Computer Science and Technology Shandong University Jinan China Provincial Key Laboratory of Network based Intelligent Computing University of Ji''nan Jinan China School of Material Science and Engineering University of Ji''nan Jinan China

The hydration reaction of Portland cement paste has an important impact on the formation of microstructure and development of strength. However, simulating the evolution of hydration reaction is very difficult because there are multi-phased, multi-sized and interrelated complex chemical and physical reactions during cement hydration. In this paper, a feedforward neural network model is built for predicting the evolution of degree of hydration. In order to reduce the computing time, GPUs are used for acceleration in parallel. Studies have shown that according to the established model, simulation curve of hydration is in good accordance with the observed experimental data.

关键词： Predictive models Computational modeling Irrigation

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Lightning prediction method based on class-weighted dual v-support vector machine

Lightning prediction method based on class-weighted dual v-s...

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2010 8th World Congress on Intelligent Control and Automation, WCICA 2010

作者： Tang, Xianlun Li, Ziming Xiang, Minghui Wu, Zexin Wang, Zhong Key Laboratory of Network Control and Intelligent Instrument Ministry of Education Chongqing University of Posts and Telecommunications Chongqing China Chongqing Institute of Meteorological Science Chongqing China College of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing China

ISBN: (纸本)9781424467129

A lightning prediction model is established to predict the lightning in 24h in Chongqing, the model is based on the character of lightning weather, the advantages of the support vector machine (SVM) method in solving learning problems of nonlinear and high dimensional samples, and the class-weighted dual v-SVM (WDv-SVM) - an improved algorithm of SVM. According to high-altitude and surface data during 1998 to 2008 provided by the Micaps system in China Meteorological Administration and the lightning observation data collected from 35 ground stations all over the city, the predictors related to lightning occurred are calculated. Compared with c-SVM and v-SVM, WDv-SVM is provided with superior classification accuracies and prediction accuracies. Consequently, the lightning prediction system in operational application is developed on the basis of the model referred. © 2010 IEEE.

关键词： Support vector machines

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