Yoon-Su Jeong ¹, Yong-Tae Kim ², Gil-Cheol Park ²

Affiliations
1 Division of Information and Communication Convergence Engineering, Mokwon University, KR
2 Division of Multimedia Engineering, Hannam University, 133 Ojeong-dong, Daedeok-Gu, Daejeon - 306-791, KR

Abstract

Recently, as the installation and deletion of not only the Internet but also applications have become easy without any time or place constraints through 3G networks as well as other diverse interfaces such as Wi-Fi and Wibro, the amounts of data are increasing and the kinds of data are being diversified. However, socially large repercussions are arising because methods of protecting user data are insufficient. In the present paper, a security scheme is proposed that will link big data to attribution information to enable users to be provided with big data services from different networks in real time. The proposed scheme inserts attribution information at the beginning and end of contents for provision of big data contents services in real time so that both authentication and non-repudiation can be provided for the contents even if one of the two signatures is lost. In addition, the proposed scheme enhanced the security of contents data by transferring hash chain values to prevent attribution information from being unnecessarily exposed to any 3rd party.

Keywords

Big Data, Data Security, Hash Chain, Multiple Attribute

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Yong-Tae Kim ¹, Yoon-Su Jeong ², Gil-Cheol Park ¹

Affiliations
1 Department of Multimedia, Hannam University, KR
2 Department of Information Communication Engineering, Mokwon University, KR

Abstract

Background/Objectives: Bioinformatic information in many diverse areas is being collected, managed, and stored in relation to the genome project. However, studies related to bioinformatics until now has very low efficiency due to improper management of the bioinformatic information. Methods/Statistical Analysis: In this paper, a data processing scheme applying the AHP algorithm is proposed for efficient management of bioinformatic information. The proposed scheme improves information accuracy by assigning property weights by hierarchically classifying the property information (type, property, priority, etc). Findings: Furthermore, the proposed scheme interconnects weighted bioinformatic information according to the weight to minimize the process time between the server and user, thereby improving the information accessibility. Application/Improvements: As a result of performance evaluation, the proposed scheme obtained improved results compared to the conventional schemes in terms of throughput and process time between the LSS (Location Service Server) and user.

Keywords

AHP, Algorithm, Big Data, Bioinformatics, Data Process.

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