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A broadcasting multiple blind signature scheme based on quantum GHZ entanglement

International Journal of Modern Physics: Conference Series 2014年第33期ijmpcs卷

作者： Yuan Tian Hong Chen Yan Gao Honglin Zhuang Haigang Lian Zhengping Han Peng Yu Xiangze Kong Xiaojun Wen Key Laboratory of Data Engineering and Knowledge Engineering China (Remin University of China) of Ministry of Education Beijing 100872 China School of Information Renmin University of China Beijing 100872 China China Computer User Association Information Protection Branch Beijing 100089 China School of Computer Science and Engineering Beihang University Beijing 100083 China School of Electronics & Information Engineering Shenzhen Polytechnic Shenzhen 518055 China

Using the correlation of the GHZ triplet states, a broadcasting multiple blind signature scheme is proposed. Different from classical multiple signature and current quantum signature schemes, which could only deliver either multiple signature or unconditional security, our scheme guarantees both by adopting quantum key preparation, quantum encryption algorithm and quantum entanglement. Our proposed scheme has the properties of multiple signature, blindness, non-disavowal, non-forgery and traceability. To the best of our knowledge, we are the first to propose the broadcasting multiple blind signature of quantum cryptography.

关键词： Broadcasting multiple blind signature quantum encryption algorithm quantum entanglement quantum cryptography

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Cryptanalysis of 2-layer nonlinear piece in hand method

Cryptanalysis of 2-layer nonlinear piece in hand method

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CD-ARES 2013 Workshops: 2nd International Workshop on Modern Cryptography and Security engineering, MoCrySEn 2013 and 3rd International Workshop on Security and Cognitive Informatics for Homeland Defense, SeCIHD 2013

作者： Nie, Xuyun Petzoldt, Albrecht Buchmann, Johannes School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 China Technische Universität Darmstadt Department of Computer Science Hochschulstraße 10 64289 Darmstadt Germany State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing 100093 China Network and Data Security Key Laboratory of Sichuan Province China

ISBN: (纸本)9783642405877

Piece in Hand method is a security enhancement method for Multivariate Public key Cryptosystems (MPKCs). Since 2004, many types of this method have been proposed. In this paper, we consider the 2-layer nonlinear Piece in Hand method as proposed by Tsuji et al. in 2009. The key point of this method is to introduce an invertible quadratic polynomial map on the plaintext variables to construct perturbation of the original MPKC. Through our analysis, we find that the security of the enhanced scheme is mainly relying on the quadratic polynomials of this auxiliary map. The two examples proposed by Tsuji et al. for this map can not resist the Linearization Equation attack. Given a valid ciphertext, we can easily get a public key which is equivalent to the original MPKC. If there is an algorithm that can recover the plaintext corresponding to a valid ciphertext of the original MPKC, we can construct an algorithm that can recover the plaintext corresponding to a valid ciphertext of the enhanced MPKC. © IFIP International Federation for information Processing 2013.

关键词： Linearization

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Design of greenhouse gases remote sensing monitoring and validation system and the key technologies

Design of greenhouse gases remote sensing monitoring and val...

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34th Asian Conference on Remote Sensing 2013, ACRS 2013

作者： Miao, Ru Lu, Ning Wang, Juanle Yao, Ling Institute of Data and Knowledge Engineering College of Computer and Information Engineering Henan University Jin Ming Avenue Kaifeng Henan 475004 China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences 11A Datun Road Chaoyang District Beijing 100101 China

ISBN: (纸本)9781629939100

Greenhouse gases remote sensing monitoring system is implementation of greenhouse gases remote sensing applied technologies. This paper discusses the business application mode, operation scheme and application technology system of greenhouse gases remote sensing monitoring based on multi-source remote sensing data. The system analysis of greenhouse gases remote sensing monitoring is introduced in this paper, which include data flow analysis, transaction flow analysis, system structure analysis and core functions analysis. The prototype system is constructed using .NET, ArcEngine and IDL mixing programming language and its application example are presented. System application results show that this system meets the remote sensing monitoring requirements using greenhouse gases monitoring business applications model to improve the monitoring capability of environmental protection department. Copyright© (2013) by the Asian Association on Remote Sensing.

关键词： Systems analysis

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A novel image retrieval method based on mutual information descriptors

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9th International Conference on Intelligent Computing, ICIC 2013

作者： Hou, Gang Zhang, Ke Zhang, Xiaoxue Kong, Jun Zhang, Ming College of Communication Engineering Jilin University Changchun China College of Humanities and Sciences Northeast Normal University Changchun China School of Computer Science and Information Technology Northeast Normal University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China

ISBN: (纸本)9783642394812

In this paper, we propose a novel image retrieval method based on mutual information descriptors (MIDs). Under the physiological property of human eyes and human visual perception theory, MIDs are extracted to encode the internal correlation relationship among multiple image feature spaces, characterizing image contents with mutual information features based on the low-level image features, such as color, shape etc., then, the mutual information features fusion strategy is used to imitate the information transfer process in nervous system. When using the MIDs proposed to image retrieval, we can get many advantages such as low dimensionality, a certain robustness of geometric distortions and noise, and describing the human visual retrieval mechanism effectively. Experimental results show that MIDs have high indexing and retrieving performance compared with existing methods for content-based image retrieval (CBIR). © 2013 Springer-Verlag.

关键词： Vision

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Synonyms weighted LDA for product aspects extraction

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International Journal of Applied Mathematics and Statistics 2013年第24期51卷 283-291页

作者： Peng, Yun Wan, Changxuan School of Information and Technology Jiangxi University of Finance and Economics Nanchang 330013 Jiangxi China Computer and Information Engineering College Jiangxi Normal University Nanchang 330022 Jiangxi China Jiangxi Key Laboratory of Data and Knowledge Engineering Jiangxi University of Finance and Economics Nanchang 330013 Jiangxi China

It is important to extract the aspects from the comments of shoppers about certain products. Product aspect descriptions often contain words of same meaning, and discriminating these synonyms effectively can improve the efficiency of aspects extraction. Standard topic model in identifying those words, because of the absent introduction of priori knowledge, will largely ignore the relations of words meaning. An improved aspects extracting model of LDA by adding synonymous words constraint is proposed in this paper. In the process of words clustering analysis, words with high similarity are aggregated in the same cluster. In the stage of aspects extraction, we introduce words clustering and cluster membership weights as priori knowledge to strengthen the original LDA topic model for features clustering, which can improve the accuracy of product aspects extraction. Our experiments show that synonyms weighted LDA proposed in this paper outperforms the original LDA by a large margin. © 2013 by CESER Publications.

关键词： Extraction

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On charactering of information propagation in online social networks

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Journal of Networks 2013年第1期8卷 124-131页

作者： Han, Xiaoting Niu, Li School of Economics and Management Beihang University Beijing China Key Laboratory of Ministry of Education for Data Engineering and Knowledge Engineering Renmin University of China Beijing China School of Information Resource Management Renmin University of China Beijing China

Recent years have witnessed the explosive growth of online social networks (OSNs), which provide a perfect platform for observing the information propagation. Based on the theory of complex network analysis, considering each node in OSNs as an agent, an information propagation model called IP-OSN has been proposed in this paper, and numerical simulation experiments have been extensively conducted, which show the mechanism of information propagation in OSNs. It can be seen from the experimental results that along with the information spreading scope will be larger while time passing. Moreover, from the network structure perspective, some interesting findings are got. First, the number of initial known nodes has a certain impact on the information propagation speed;however it doesn't affect the number of final known and unknown nodes. Then, the number of neighbors has a great impact on the information propagation process and results. Finally, percentage of different user type is the decisive factor for information propagation either in final node number or propagation speed. This paper attempts to complement the theoretical framework of information propagation and complex networks, and thus to further promote the practice of information control in OSNs. © 2013 ACADEMY PUBLISHER.

关键词： Social networking (online)

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An intermediate view for data integration, management in cloud computing

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Journal of Computational information Systems 2013年第9期9卷 3611-3618页

作者： Ge, Jingjun Hu, Changjun Li, Yang Liu, Xin Zuo, Haolei School of Computer and Communication Engineering University of Science and Technology Beijing Beijing 100083 China Beijing Key Laboratory of Knowledge Engineering for Materials Science Beijing 100083 China School of Information Engineering Nanchang Hangkong University Nanchang 330063 China

It is necessary to integrate and manage data in the Cloud for providing in-depth data services. This paper introduces an intermediate view that provides a highly interactive environment to integrate and manage data distributed in different sources. The intermediate view, emphasizing on the notion of payas-you-go data integration and management, provides data sources Integration Broker, data Sources Intermediate View Model and data Sources View Manager that can automatically create mappings between data sources to support integrating, viewing and querying data sources relationship, integrates multiple search/query strategies, and provides view query operations for users to manage data more easily. Finally, we report on successful application results obtained with a prototype implementation called MSDSN, involving challenging management and sharing of materials scientific data, to illustrate the feasibility and effectiveness of intermediate view. © 2013 by Binary information Press.

关键词： information management

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Summarizing Large-Scale database Schema Using Community Detection

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Journal of computer Science & Technology 2012年第3期27卷 515-526页

作者：王雪周烜王珊 School of Information Renmin University of China Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of China

Schema summarization on large-scale databases is a challenge. In a typical large database schema, a great proportion of the tables are closely connected through a few high degree tables. It is thus difficult to separate these tables into clusters that represent different topics. Moreover, as a schema can be very big, the schema summary needs to be structured into multiple levels, to further improve the usability. In this paper, we introduce a new schema summarization approach utilizing the techniques of community detection in social networks. Our approach contains three steps. First, we use a community detection algorithm to divide a database schema into subject groups, each representing a specific subject. Second, we cluster the subject groups into abstract domains to form a multi-level navigation structure. Third, we discover representative tables in each cluster to label the schema summary. We evaluate our approach on Freebase, a real world large-scale database. The results show that our approach can identify subject groups precisely. The generated abstract schema layers are very helpful for users to explore database.

关键词： schema summarization large scale community detection

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GPU accelerated item-based collaborative filtering for big-data applications

GPU accelerated item-based collaborative filtering for big-d...

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IEEE International Conference on big data

作者： Chandima Hewa Nadungodage Yuni Xia John Jaehwan Lee Myungcheol Lee Choon Seo Park Department of Computer & Information Science Purdue School of Science Indianapolis USA Department of Electrical & Computer Engineering Purdue School of Engineering & Technology Indianapolis USA Big-Data Software Platform Research Department Software Research Laboratory Electronics & Telecommunications Research Institute Korea

Recommendation systems are a popular marketing strategy for online service providers. These systems predict a customer's future preferences from the past behaviors of that customer and the other customers. Most of the popular online stores process millions of transactions per day; therefore, providing quick and quality recommendations using the large amount of data collected from past transactions can be challenging. Parallel processing power of GPUs can be used to accelerate the recommendation process. However, the amount of memory available on a GPU card is limited; thus, a number of passes may be required to completely process a large-scale dataset. This paper proposes two parallel, item-based recommendation algorithms implemented using the CUDA platform. Considering the high sparsity of the user-item data, we utilize two compression techniques to reduce the required number of passes and increase the speedup. The experimental results on synthetic and real-world datasets show that our algorithms outperform the respective CPU implementations and also the naïve GPU implementation which does not use compression.

关键词： Graphics processing units Runtime Kernel Instruction sets Indexes Memory management Acceleration

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Cancer classification using a local reconstruction and global preserving based semi-supervised dimensionality reduction method

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Journal of Computational information Systems 2013年第8期9卷 3043-3050页

作者： Cai, Xianfa Wei, Jia Wen, Guihua Li, Jie School of Medical Information Engineering Guangdong Pharmaceutical University Guangzhou 510006 China School of Computer Science and Engineering South China University of Technology Guangzhou 510006 China Shenzhen Key Laboratory of High Performance Data Mining Shenzhen 518055 China

Accurate classification of gene expression data offers great value in understanding the mechanism of tumor and effective clinical treatment. However, in real-world application, people often face a large number of unlabeled samples and meager labeled ones, so semi-supervised learning is applied in cancer classification. In this paper, a Local Reconstruction and Global Preserving Based Semi-Supervised Dimensionality(LRGPSSDR) Method was proposed for cancer classification. LRGPSSDR makes full use of side information, which can set the edge weights of neighborhood graph through minimizing the local reconstruction error and can preserve the global geometric structure of the sampled data set as well as preserving its local geometric structure. Experimental results on five public gene expression datasets show the superior performance of the method.

关键词： Classification (of information)

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