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http://dx.doi.org/10.14400/JDC.2015.13.1.263

Multi-Attribute based on Data Management Scheme in Big Data Environment  

Jeong, Yoon-Su (Dept. of Information and Communication Convergence engineering, Mokwon University)
Kim, Yong-Tae (Dept. of Multimedia Engineering, Hannam, University)
Park, Gil-Cheol (Dept. of Multimedia Engineering, Hannam, University)
Publication Information
Journal of Digital Convergence / v.13, no.1, 2015 , pp. 263-268 More about this Journal
Abstract
Put your information in the object-based sensors and mobile networks has been developed that correlate with ubiquitous information technology as the development of IT technology. However, a security solution is to have the data stored in the server, what minimal conditions. In this paper, we propose a data management method is applied to a hash chain of the properties of the multiple techniques to the data used by the big user and the data services to ensure safe handling large amounts of data being provided in the big data services. Improves the safety of the data tied to the hash chain for the classification to classify the attributes of the data attribute information according to the type of data used for the big data services, functions and characteristics of the proposed method. Also, the distributed processing of big data by utilizing the access control information of the hash chain to connect the data attribute information to a geographically dispersed data easily accessible techniques are proposed.
Keywords
Big Data; Distribution Environment; Data Process; Multi-attribute;
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