Detailed Information

Cited 0 time in webofscience Cited 9 time in scopus
Metadata Downloads

Block Access Token Renewal Scheme Based on Secret Sharing in Apache Hadoop

Authors
Kim, Su-HyunLee, Im-Yeong
Issue Date
Aug-2014
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Keywords
Hadoop; block access token; authentication; secret sharing; entropy
Citation
Entropy, v.16, no.8, pp 4185 - 4198
Pages
14
Journal Title
Entropy
Volume
16
Number
8
Start Page
4185
End Page
4198
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/11996
DOI
10.3390/e16084185
ISSN
1099-4300
Abstract
In a cloud computing environment, user data is encrypted and stored using a large number of distributed servers. Global Internet service companies such as Google and Yahoo have recognized the importance of Internet service platforms and conducted their own research and development to utilize large cluster-based cloud computing platform technologies based on low-cost commercial off-the-shelf nodes. Accordingly, as various data services are now allowed over a distributed computing environment, distributed management of big data has become a major issue. On the other hand, security vulnerability and privacy infringement due to malicious attackers or internal users can occur by means of various usage types of big data. In particular, various security vulnerabilities can occur in the block access token, which is used for the permission control of data blocks in Hadoop. To solve this problem, we have proposed a weight-applied XOR-based efficient distribution storage and recovery scheme in this paper. In particular, various security vulnerabilities can occur in the block access token, which is used for the permission control of data blocks in Hadoop. In this paper, a secret sharing-based block access token management scheme is proposed to overcome such security vulnerabilities.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Computer Software Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Im Yeong photo

Lee, Im Yeong
College of Software Convergence (Department of Computer Software Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE