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Privacy Preserving Naive Bayes Classification Using Trusted Third Party Computation over distributed Progressive databases

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1st International Conference on Computer Science and Information Technology

作者： Keshavamurthy, B. N. Toshniwal, Durga Indian Inst Technol Roorkee Dept Elect & Comp Engn Uttarakhand India

ISBN: (纸本)9783642178566

Privacy-preservation in distributed progressive databases is an active area of research in recent years. In a typical scenario, multiple parties may wish to collaborate to extract interesting global information such as class labels without revealing their respective data to each other. This may be particularly useful in applications such as customer retention, medical research etc. In the proposed work, we aim to develop a global classification model based on the Naive Bayes classification scheme. The Naive Bayes classification has been used because of its simplicity, high efficiency. For privacy-preservation of the data, the concept of trusted third party with two offsets has been used. The data is first anonymized at local party end and then the aggregation and global classification is done at the trusted third party. The proposed algorithms address various types of fragmentation schemes such as horizontal, vertical and arbitrary distribution required format. The car-evaluation dataset is used to test the effectiveness of proposed algorithms.

关键词： privacy preservation distributed database progressive database

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Relational peer to peer database management systems: A survey

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JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2011年第1_suppl期11卷 S163-S175页

作者： Aljahdali, Sultan Taif Univ Coll Comp & Informat Technol Dept Comp Sci At Taif Saudi Arabia

In recent years, P2P architecture has been established as a major means for distributed data sharing systems, and has been broadly utilized for P2P file sharing (e.g. music, movies, etc.). For the last few years, the database community has begun to exploit P2P paradigms for database applications and a few prototypes have been proposed for P2P database management systems. In this paper, we provide an overview of different challenging issues for building P2P database management systems by presenting existing research related to P2P database management.

关键词： Peer to peer distributed database multidatabase

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Building a Cloud Storage Service System

Building a Cloud Storage Service System

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3rd International Conference on Environmental Science and Information Application Technology (ESIAT)

作者： Peng, Chengzhang Jiang, Zejun Northwestern Polytech Univ Sch Comp Sci & Technol Xian 710072 Peoples R China

Cloud Storage services are increasingly noticed as they promise elastic capability and high reliability at low cost. In such services, you can store most of your files to authenticated Cloud Storage Service center, and you do not worry about your space being inadequate or wasted because the storage being able to be adjusted dynamically is the most important feature of the Cloud Storage. In this paper, we present a solution about how to build a Cloud Storage Service System based on the open-source distributed database, it follows a stratum design that includes Web service front-end, transformation processing layer and data storing layer. Terminal users can access their own data in this system through three Web service interfaces. More over, a complete prototype system based on this architecture is demonstrated. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Conference ESIAT2011 Organization Committee.

关键词： Cloud Storage Service Amazone's S3 distributed database SOAP REST

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distributed query optimization in Oracle 11

Distributed query optimization in Oracle

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Proceedings of the International Conference & Workshop on Emerging Trends in Technology

作者： Mahajan, S.M. Jadhav, V.P. Mumbai Education Trust Reclaimation Banrdra India NMIMS University Vile Parle Mumbai India

ISBN: (纸本)9781450304498

distributed databases use client/server architecture to process information requests. Query optimization is a difficult enough task in a distributed environment [1]. In order to optimize queries accurately, sufficient information must be available. The several options available in Oracle for query optimization are given in this paper. Copyright © 2011 ACM.

关键词： execution plan distributed database cost-based optimization collocated inline views query optimization client/server architecture hints Oracle

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Building a Cloud Storage Service System

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Procedia Environmental Sciences 2011年 10卷 691-696页

作者： Chengzhang Peng Zejun Jiang School of Computer Science and Technology Northwestern Polytechnical University Xi’an 710072 China

关键词： Cloud Storage Service Amazone's S3 distributed database SOAP REST

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Privacy-Preserving Naive Bayes Classification Using Trusted Third Party and Offset Computation over distributed databases 1

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International Conference on Advances in Information and Communication Technologies

作者： Keshavamurthy, B. N. Sharma, Mitesh Toshniwal, Durga Indian Inst Technol Dept Elect & Comp Engn Roorkee Uttarakhand India

ISBN: (数字)9783642157660

ISBN: (纸本)9783642157653

Privacy-preservation in distributed databases is an important area of research in recent years. In a typical scenario, multiple parties may wish to collaborate to extract interesting global information such as class labels without revealing their respective data to each other. This may be particularly useful in applications such as car selling units, medical research etc. In the proposed work, we aim to develop a global classification model based on the Naive Bayes classification scheme. The Naive Bayes classification has been used because of its simplicity and high efficiency. For privacy-preservation of the data, the concept of trusted third party with two offsets has been used. The data is first anonymized at local party end and then the aggregation and global classification is done at the trusted third party. The proposed algorithms address various types of fragmentation schemes such as horizontal, vertical and arbitrary distribution.

关键词： privacy-preservation distributed database partitions

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Building a Cloud Storage Service System

Building a Cloud Storage Service System

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2011 3rd International Conference on Environmental Science and Information Application Technology(ESIAT 2011)

作者： Chengzhang Peng Zejun Jiang School of Computer Science and Technology Northwestern Polytechnical University

关键词： Cloud Storage Service Amazone's S3 distributed database SOAP REST

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Scheduling with freshness and performance guarantees for web applications in the cloud 11

Scheduling with freshness and performance guarantees for web...

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Proceedings of the Twenty-Second Australasian database Conference - Volume 115

作者： Yingying Zhu Mohamed A. Sharaf Xiaofang Zhou The University of Queensland Brisbane Australia

ISBN: (纸本)9781920682958

Highly distributed data management platforms (e.g., PNUTS, Dynamo, Cassandra, and BigTable) are rapidly becoming the favorite choice for hosting modern web applications in the cloud. Among other features, these platforms rely on data partitioning, replication and relaxed consistency to achieve high levels of performance and scalability. However, these design choices often exhibit a trade-off between performance and data freshness. In this paper, in addition to performance SLAs, we also perceive an application tolerance to data staleness as another requirement determining the end-user satisfaction and our goal is to strike a fine balance between both the quality of service (QoS) and quality of data (QoD) perceived by the end-user. Towards that, we propose scheduling policies and mechanisms for efficiently allocating the recourses at each replica node so that to meet the conflicting requirements of user queries and replica updates. Our experimental results show that employing our scheduling strategies for resource allocation can provide significant improvements in the overall system utility when compared to the existing ones.

关键词： distributed database quality of data consistency cloud computing SLA quality of service scheduling web database

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MassBank: a public repository for sharing mass spectral data for life sciences

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JOURNAL OF MASS SPECTROMETRY 2010年第7期45卷 703-714页

作者： Horai, Hisayuki Arita, Masanori Kanaya, Shigehiko Nihei, Yoshito Ikeda, Tasuku Suwa, Kazuhiro Ojima, Yuya Tanaka, Kenichi Tanaka, Satoshi Aoshima, Ken Oda, Yoshiya Kakazu, Yuji Kusano, Miyako Tohge, Takayuki Matsuda, Fumio Sawada, Yuji Hirai, Masami Yokota Nakanishi, Hiroki Ikeda, Kazutaka Akimoto, Naoshige Maoka, Takashi Takahashi, Hiroki Ara, Takeshi Sakurai, Nozomu Suzuki, Hideyuki Shibata, Daisuke Neumann, Steffen Iida, Takashi Tanaka, Ken Funatsu, Kimito Matsuura, Fumito Soga, Tomoyoshi Taguchi, Ryo Saito, Kazuki Nishioka, Takaaki Keio Univ Inst Adv Biosci Yamagata 9970035 Japan Univ Tokyo Grad Sch Frontier Sci Chiba 2778561 Japan RIKEN Plant Sci Ctr Kanagawa 2300045 Japan Nara Inst Sci & Technol Grad Sch Informat Sci Nara 6300192 Japan Eisai & Co Ltd Biomarkers & Personalized Med Core Funct Unit Eisai Prod Creat Syst Tsukuba Ibaraki 3002635 Japan CREST JST Kawaguchi Saitama 3320012 Japan Univ Tokyo Grad Sch Med Tokyo 1130033 Japan Kyoto Univ Grad Sch Pharmaceut Sci Kyoto 6068501 Japan Res Inst Prod Dev Kyoto 6060805 Japan Kazusa DNA Res Inst Chiba 2920818 Japan Leibniz Inst Plant Biochem D-06120 Halle Germany Nihon Univ Coll Humanities & Sci Tokyo 1568550 Japan Toyama Univ Inst Nat Med Toyama 9300194 Japan Univ Tokyo Grad Sch Engn Tokyo 1138656 Japan Fukuyama Univ Fac Life Sci & Biotechnol Hiroshima 7290292 Japan

MassBank is the first public repository of mass spectra of small chemical compounds for life sciences (<3000 Da). The database contains 605 electron-ionization mass spectrometry(EI-MS), 137 fast atom bombardment MS and 9276 electrospray ionization (E51)-MSn data of 2337 authentic compounds of metabolites, 11 545 EI-MS and 834 other-MS data of 10 286 volatile natural and synthetic compounds, and 3045 ESI-MS2 data of 679 synthetic drugs contributed by 16 research groups (January 2010). ESI-MS2 data were analyzed under nonstandardized, independent experimental conditions. MassBank is a distributed database. Each research group provides data from its own MassBank data servers distributed on the Internet. MassBank users can access either all of the MassBank data or a subset of the data by specifying one or more experimental conditions. In a spectral search to retrieve mass spectra similar to a query mass spectrum, the similarity score is calculated by a weighted cosine correlation in which weighting exponents on peak intensity and the mass-to-charge ratio are optimized to the ESI-MS2 data. MassBank also provides a merged spectrum for each compound prepared by merging the analyzed ESI-MS2 data on an identical compound under different collision-induced dissociation conditions. Data merging has significantly improved the precision of the identification of a chemical compound by 21-23% at a similarity score of 0.6. Thus, MassBank is useful for the identification of chemical compounds and the publication of experimental data. Copyright (C) 2010 John Wiley & Sons, Ltd.

关键词： MassBank public database distributed database metabolite spectral similarity

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Data Distribution Strategy Research Based on Genetic Algorithm

Data Distribution Strategy Research Based on Genetic Algorit...

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International Conference on Information Computing and Applications

作者： Wei, Mingjun Xu, Chaochun Hebei Polytech Univ Coll Sci Xinhua W Rd 46 Tangshan 063009 Peoples R China Hebei Polytechn Univ Coll Comp & Automat Control Tangshan 063009 Peoples R China

ISBN: (纸本)9783642163357

Data distribution has a direct impact on improving the entire distributed database application system, data availability, and efficiency and reliability of distributed database. In order to solve the data distribution better, this paper adopts adaptive mutation operator to maintain the balance between colony diversity and searching random of the algorism, and presents a strategy based on genetic algorithm. During the study, the paper has improved the genetic algorithm, and proved strategy to be close to the optimal solution by experiment.

关键词： distributed database genetic algorithm data distribution heuristic search

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