Paper Info
Title
A security framework in G-Hadoop for big data computing across distributed Cloud data centres.
Abstract
MapReduce is regarded as an adequate programming model for large-scale data-intensive applications. The Hadoop framework is a well-known MapReduce implementation that runs the MapReduce tasks on a cluster system. G-Hadoop is an extension of the Hadoop MapReduce framework with the functionality of allowing the MapReduce tasks to run on multiple clusters. However, G-Hadoop simply reuses the user authentication and job submission mechanism of Hadoop, which is designed for a single cluster. This work proposes a new security model for G-Hadoop. The security model is based on several security solutions such as public key cryptography and the SSL protocol, and is dedicatedly designed for distributed environments. This security framework simplifies the users authentication and job submission process of the current G-Hadoop implementation with a single-sign-on approach. In addition, the designed security framework provides a number of different security mechanisms to protect the G-Hadoop system from traditional attacks.
Year
DOI
Venue
2014
10.1016/j.jcss.2014.02.006
Journal of Computer and System Sciences
Keywords
Field
DocType
Cloud computing,Massive data processing,Data-intensive computing,Security model,MapReduce
Authentication,Data-intensive computing,Computer science,Cloud computing security,Public-key cryptography,Transport Layer Security,Big data,Computer security model,Distributed computing,Cloud computing
Journal
Volume
Issue
ISSN
80
5
0022-0000
Citations 
PageRank 
References 
36
1.17
28
Authors
9
Name
Order
Citations
PageRank
Jiaqi Zhao19710.63
Lizhe Wang22973191.46
Jie Tao391661.29
Jinjun Chen484742.80
Weiye Sun5361.17
Rajiv Ranjan64747267.72
Joanna Kolodziej792055.57
Achim Streit81067109.13
Dimitrios Georgakopoulos92554580.54