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International Conference on data engineering

作者： Chunbin Lin Jiaheng Lu Tok Wang Ling Bogdan Cautis Key Laboratory of Data Engineering and Knowledge Engineering MOE Renmin University of China China School of Computing National University of Singapore Singapore Télécom Paris Technology France

ISBN: (纸本)9781467300421

The existing query languages for XML (e.g., XQuery) require professional programming skills to be formulated, however, such complex query languages burden the query processing. In addition, when issuing an XML query, users are required to be familiar with the content (including the structural and textual information) of the hierarchical XML, which is diffcult for common users. The need for designing user friendly interfaces to reduce the burden of query formulation is fundamental to the spreading of XML community. We present a twig-based XML graphical search system, called LotusX, that provides a graphical interface to simplify the query processing without the need of learning query language and data schemas and the knowledge of the content of the XML document. The basic idea is that LotusX proposes "position-aware" and "auto-completion" features to help users to create tree-modeled queries (twig pattern) by providing the possible candidates on-the-fly. In addition, complex twig queries (including order sensitive queries) are supported in LotusX. Furthermore, a new ranking strategy and a query rewriting solution are implemented to rank and rewrite the query effectively. We provide an online demo for LotusX system: http://***:8080/LotusX.

关键词： XML database languages Indexes Books Query processing Programming keyword search

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Research on intrusion detection model of heterogeneous attributes clustering

Journal of Software

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Journal of Software 2012年第12期7卷 2823-2831页

作者： Xie, Linquan Wang, Ying Yu, Fei Xu, Chen Yue, Guangxue School of Science Jiangxi University of Science and Technology 341000 Ganzhou China School of Science Jiangxi University of Science and Technology 341000 Ganzhou China Jiangsu Provincial Key Laboratory for Computer Information Processing Technology Soochow University 215000 Soochow China School of Information Science and Engineering Hunan University 416000 Changsha China Department of Computer Science and Technology Huaihua University Huaihua China

A fuzzy clustering algorithm for intrusion detection based on heterogeneous attributes is proposed in this paper. Firstly, the algorithm modifies the comparability measurement for the categorical attributes according to the formula of Hemingway;then, for the shortages of fuzzy C-means clustering algorithm: initialize sensitively and easy to get into the local optimum, the presented new algorithm is optimized by GuoTao approach. We simulate our algorithm with the KDDCUP99 data set, and the results show that the convergence rate of the new algorithm is faster than the original fuzzy C-means clustering algorithm and the performance of our algorithm is more stable. © 2012 ACADEMY PUBLISHER.

关键词： Intrusion detection

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Drivers for strategic choice of cloud computing as online service in SMEs

Drivers for strategic choice of cloud computing as online se...

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International Conference on information Systems, ICIS 2012

作者： Li, Min Yu, Yan Zhao, J. Leon Li, Xin University of Science and Technology China-City University of Hong Kong Joint Advanced Research Center 166 Renai Road Dushu Lake Higher Education Town Suzhou China Key Laboratory of Data Engineering and Knowledge Engineering MOE Renmin University of China 59 Zhongguancun Street Haidian District Beijing China Department of Information Systems City University of Hong Kong Tat Chee Avenue Kowloon Hong Kong

ISBN: (纸本)9781627486040

Cloud Computing Service (CCS) paradigm is changing IT strategy of organizations in the digital world. CCS that requires few upfront investments and uses lease-based pricing is especially relevant to the Small and Medium Enterprises (SMEs), which have limited resources and may not know their true valuation for the IT prior to adoption. Thus, this research aims to investigate the influential factors of SMEs' strategic choice of CCS as online service. Relying upon technology-Organization-Environment (TOE) paradigm, we identify both generic and context-specific factors from the three aspects and explain how the identified factors affect SMEs' CCS strategic choices. We hope this research can make contributions to innovation diffusion theory and IT strategy literature. We also hope the research with progress going on can generate insights for the CCS vendors who care about the sector of SME as well as the government administrators to make appropriate policies or supports for SMEs.

关键词： Cloud computing

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Pattern mining, semantic label identification and movement prediction using mobile phone data

Pattern mining, semantic label identification and movement p...

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8th International Conference on Advanced data Mining and Applications, ADMA 2012

作者： Xie, Rong Luo, Jun Yue, Yang Li, Qingquan Zou, Xiaoqing International School of Software Wuhan University Wuhan 430079 China Shenzhen Institutes of Advanced Technology CAS Shenzhen 518055 China Shenzhen Key Laboratory of High Performance Data Mining Shenzhen 518055 China Shenzhen University Shenzhen China State Key Lab. of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 China Faculty of Land Resource Engineering Kunming University of Science and Technology Kunming China

ISBN: (纸本)9783642355264

data collected from mobile phones have potential knowledge to provide with important behavior patterns of individuals. In this paper, we present approaches to discovering personal mobility and characteristics based on mobile phone location information and semantic analysis. We discuss three aspects related to very common mobile phone-related applications such as pattern mining, semantic label identification and movement prediction. We use real mobile phone data to perform functions of discovering these behavior patterns and demonstrate effectiveness of our approaches. © Springer-Verlag 2012.

关键词： Cellular telephones

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Practical privacy for value-added applications in vehicular ad hoc networks 5th

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5th International Conference on Internet and Distributed Computing Systems, IDCS 2012

作者： Zhang, Lei Wu, Qianhong Qin, Bo Domingo-Ferrer, Josep Shanghai Key Laboratory of Trustworthy Computing Software Engineering Institute East China Normal University Shanghai China UNESCO Chair in Data Privacy Dept. of Comp. Eng. and Maths Universitat Rovira i Virgili TarragonaCatalonia Spain Key Lab. of Aerospace Information Security and Trusted Computing Ministry of Education Wuhan University School of Computer China Department of Maths School of Science Xi’an University of Technology China

ISBN: (纸本)9783642348822

Advances in mobile networking and information processing technologies have triggered vehicular ad hoc networks (VANETs) for traffic safety and value-added applications. Most efforts have been made to address the security concerns while little work has been done to investigate security and privacy for value-added applications in VANETs. To fill this gap, we propose a value-added application, specifically, a security and privacy preserving location-based service (LBS) scheme for VANETs. For each LBS transaction, the scheme provides authentication, integrity and non-repudiation for both the service provider and the user. A user can obtain the service in an anonymous way and hence user privacy is well protected. However, a tracing procedure can be invoked to find malicious users, thereby efficiently preventing users from abusing the anonymity provided by the system. © Springer-Verlag Berlin Heidelberg 2012.

关键词： Location based services

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A RFID mixed coding scheme based on huffman algorithm

A RFID mixed coding scheme based on huffman algorithm

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2011 International Conference on Management of e-Commerce and e-Government, ICMeCG 2011

作者： Jian, Jiang Guoqiong, Liao Hao, Wang Qizhi, Wan School of Information Technology Jiangxi University of Finance and Economics Nanchang China Jiangxi Key Laboratory of Data and Knowledge Engineering Nanchang Nanchang China

ISBN: (纸本)9780769545448

In RFID application systems with multiple packaging layers, labeling packaging relationship of objects in different packaging layers by encoding methods is a important technology field. Prefix-based labeling scheme is a method by which the packaging relationship of objects amounts to testing whether one object is an prefix of the other, whereas the region numbering scheme is a method by which an ancestor query amount to an interval containment test on the labels. This paper first presents a mixed-encoding scheme based on Huffman algorithm, then propose a variant of this encoding scheme in which new "virtual nodes" are involved in order to improve the stability of encoding. Our experiments prove that the mixed-based encoding scheme is effective due to the enhancement of update performance and query efficiency. © 2011 IEEE.

关键词： Encoding (symbols)

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Conservative properties analysis of multi-symplectic integrator for the Schrödinger equation with wave operator

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AIP Conference Proceedings 2012年第1期1479卷 1283-1286页

作者： Linghua Kong Lan Wang Xiuling Yin Yali Duan School of Mathematics and Information Science Jiangxi Normal University Nanchang Jiangxi 330022 China State Key Laboratory of Scientific and Engineering Computing Institute of Computational Mathematics and Scientific/Engineering Computing AMSS CAS P.O. Box 2719 Beijing 100190 China School of Mathematical Science University of Science and Technology of China Hefei Anhui 230026 China

In the article, we discuss the conservation laws for the nonlinear Schrödinger equation with wave operator under multisymplectic integrator (MI). The discrete conservation laws of the numerical method are analyzed. It is verified that the proposed MI can stably simulate the multisymplectic Hamiltonian system excellent over long time. It is more accurate than some energy-preserving schemes though they are of the same accuracy. Moreover, the residual of mass is less than energy-preserving schemes under the same mesh partition over long-term.

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Clustering XML search results based on content and structure similarity

Clustering XML search results based on content and structure...

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2011 International Conference on Management of e-Commerce and e-Government, ICMeCG 2011

作者： Min-Juan, Zhong Chang-Xuan, Wan De-Xi, Liu Xian-Pei, Jiao School of Information and Technology Jiangxi University of Finance and Economics Nanchang China Jiangxi Key Laboratory of Data and Knowledge Engineering Jiangxi University of Finance and Economics Nanchang China

ISBN: (纸本)9780769545448

Clustering XML search results is an effective way to improve performance. However, the key problem is how to measure similarity between XML documents. In this paper, we propose a semantic similarity measure method combining content with structure, in which a variety of XML document features, including term element frequency, term inverse element frequency, semantic weight of tag label and level information of the term, are analyzed and applied for computing the similarity between XML documents. In addition, two new performance evaluation methodology, namely Cluster Ratio Relevant and Docu Ratio Relevant, for clustering quality are introduced motivated by the observations of relevant documents distribution and the fact that collection has no classification information. Experiment results show that proposed similarity method(CAS measure)outperforms traditional document clustering(CO measure) in Cluster Ratio Relevant and Docu Ratio Relevant and produces better clustering quality. © 2011 IEEE.

关键词： XML

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Distributed data possession checking for securing multiple replicas in geographically-dispersed clouds

Distributed data possession checking for securing multiple r...

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作者： He, Jing Zhang, Yanchun Huang, Guangyan Shi, Yong Cao, Jie Centre for Applied Informatics School of Engineering and Science Victoria University PO Box 14428 Melbourne VIC 8001 Australia Research Center on Fictitious Economy and Data Science Chinese Academy of Sciences China College of Information Science and Technology University of Nebraska at Omaha United States Jiangsu Provincial Key Laboratory of E-Business Nanjing University of Finance and Economics Nanjing 210003 China

Distributing multiple replicas in geographically-dispersed clouds is a popular approach to reduce latency to users. It is important to ensure that each replica should have availability and data integrity features;that is, the same as the original data without any corruption and tampering. Remote data possession checking is a valid method to verify the replicass availability and integrity. Since remotely checking the entire data is time-consuming due to both the large data volume and the limited bandwidth, efficient data-possession- verifying methods generally sample and check a small hash (or random blocks) of the data to greatly reduce the I/O cost. Most recent research on data possession checking considers only single replica. However, multiple replicas data possession checking is much more challenging, since it is difficult to optimize the remote communication cost among multiple geographically-dispersed clouds. In this paper, we provide a novel efficient Distributed Multiple Replicas data Possession Checking (DMRDPC) scheme to tackle new challenges. Our goal is to improve efficiency by finding an optimal spanning tree to define the partial order of scheduling multiple replicas data possession checking. But since the bandwidths have geographical diversity on the different replica links and the bandwidths between two replicas are asymmetric, we must resolve the problem of Finding an Optimal Spanning Tree in a Complete Bidirectional Directed Graph, which we call the FOSTCBDG problem. Particularly, we provide theories for resolving the FOSTCBDG problem through counting all the available paths that viruses attack in clouds network environment. Also, we help the cloud users to achieve efficient multiple replicas data possession checking by an approximate algorithm for tackling the FOSTCBDG problem, and the effectiveness is demonstrated by an experimental study. © 2011 Elsevier Inc.

关键词： Bandwidth

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Cryptanalysis of a lattice-knapsack mixed public key cryptosystem

Cryptanalysis of a lattice-knapsack mixed public key cryptos...

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11th International Conference on Cryptology and Network Security, CANS 2012

作者： Xu, Jun Hu, Lei Sun, Siwei Wang, Ping State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing 100093 China University of Chinese Academy of Sciences Beijing 100049 China School of Mathematical Science Anhui University Hefei 230601 Anhui China Tian Jin Zhong Wei Aerospace Data System Technology Co. Ltd. China Aerospace Science and Technology Corporation Beijing 100086 China Space Star Technology Co. Ltd. China Aerospace Science and Technology Corporation Beijing 100086 China Institute No.503 of the Fifth Research Academy China Aerospace Science and Technology Corporation Beijing 100086 China

ISBN: (纸本)9783642354038

Recently, a lattice based public key cryptosystem mixed with a knapsack was presented in the CANS 2011 conference. In this paper, we propose two message recovery attacks on this cryptosystem. The first one is a broadcast attack: a single message of m bits can be recovered if it is encrypted for ⌈m+1/2⌉ recipients. The second attack is a multiple transmission attack in which a message can be recovered with a probability of (1 - 2 -l)m if it is encrypted under a same public key for l = ⌈log2m + 2⌉ times using different random numbers. The multiple transmission attack can be further improved with a linearization technique to that only ⌈log2 m + 1/2⌉ times of encryptions are required to recover the message. An open problem related to the message recovery attack using only one cipehertext is discussed. © Springer-Verlag 2012.

关键词： Linearization

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