Design and Implementation of the Network Electronic Identity Management System

Li Shun Ni; Bing Chen

doi:10.4028/www.scientific.net/AMM.548-549.1334

Paper Titles

Study on High-Performance Simulation Computer for Large-Scale System of Systems Simulation
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Investigating the Effect of Software Complexity Metrics on Software Cost
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A Design for Fault-Tolerant Communication Middleware Based on Time-Triggered
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Design of Theme Crawler for Web Forum
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Design and Implementation of the Network Electronic Identity Management System
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Development of Bluetooth Roll Call System Based on Android Platform
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On the Construction of Efficient Private Signature Scheme
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Alternative Antenna Research to Optimize MIL-STD-188-125-1 Standard Shielding Effectiveness Measurement
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A Modified Energy Detection Algorithm Based on Primary User Activity for Cognitive Radio Networks
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 548-549Design and Implementation of the Network...

Design and Implementation of the Network Electronic Identity Management System

Abstract:

This paper presents a quickly locate the query methods in the face of huge amounts of data. The method by analyzing the data relationship, split the database, the formation of cross-database quickly Hash positioning table, and by analyzing the query cost to build double weighted graph and weight table. Each query is given based on the node weight table fast cross-database query path, and quickly locate the target from the cross-database positioning Hash table Hash calculation, in order to achieve fast positioning method.

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Periodical:

Applied Mechanics and Materials (Volumes 548-549)

Pages:

1334-1338

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.548-549.1334

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Online since:

April 2014

Authors:

Li Shun Ni, Bing Chen*

Keywords:

Cross-Database, Electronic Identity (eID), Massive Data, Relation Database

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* - Corresponding Author

References

[1] G J. Baker, C. Bond, J. Corbett, J. Furman, A. Khorlin, J. Larson, J. L´eon, Y. Li, A. Lloyd, and V. Yushprakh. Megastore: providing scalable, highly available storage for interactive services. In Conference on Innovative Data Systems Research (CIDR), (2011).

Google Scholar

[2] Data mining from multiple heterogeneous relational databases using decision tree classification Tahar MehenniAbdelouahab Moussaoui Pattern recognition letters, EISCI (2012).

DOI: 10.1016/j.patrec.2012.05.014

Google Scholar

[3] The Realization of Decision Support System for Cross-border Transportation based on the Multi-dimensional Database Zhihong Jin, Qi Xu Journal of Software, (2012).

DOI: 10.4304/jsw.7.5.974-981

Google Scholar

[4] Outlier identification in high dimensions Peter FilzmoserRicardo MaronnaMark Werner Computational statistics & data analysis, EISCI (2008).

Google Scholar

[5] Identification of the unknown diffusion coefficient in a linear parabolic equation by the semigroup approach Demir, AHasanov, A Journal of Mathematical Analysis and Applications, EISCI (2008).

DOI: 10.1016/j.jmaa.2007.08.004

Google Scholar

[6] Liberty alliance project: Identity-management{EB/OL]. http: /WWW. projectliberty. org.

Google Scholar