DocumentCode
1699942
Title
Access Security on Cloud Computing Implemented in Hadoop System
Author
Chang, Bao Rong ; Tsai, Hsiu Fen ; Lin, Zih-Yao ; Chen, Chi-Ming
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Univ. of Kaohsiung, Kaohsiung, Taiwan
fYear
2011
Firstpage
77
Lastpage
80
Abstract
In this paper, we introduce a Hadoop cloud computing together with access security by using the fingerprint identification and face recognition. Hadoop cloud computing is connected to serve plenty of mobile devices or thin clients by the wired or wireless network. In fact a controller (master) may be linked to several nodes (slavers) to form a Hadoop cloud computing, where the cloud computing initiates the services like SaaS, PaaS, and/or IaaS. This study employed a way of low-capacity Linux embedded platform linked to Hadoop via Ethernet, WiFi or 3G. At client side, JamVM virtual machine is utilized to form the J2ME environment, and GNU Class path is viewed as Java Class Libraries. In order to verify the cloud system effectiveness and efficiency in access security, the rapid identification on fingerprint and face in Hadoop has been done successfully within 2.2 seconds to exactly cross-examine the subject identity.
Keywords
Java; Linux; authorisation; cloud computing; face recognition; fingerprint identification; mobile computing; virtual machines; wireless LAN; 3G; Ethernet; GNU Classpath; Hadoop cloud computing; J2ME environment; JamVM virtual machine; Java class libraries; WiFi; access security; face recognition; fingerprint identification; low-capacity Linux embedded platform; mobile devices; wired network; wireless network; Cloud computing; Face recognition; Fingerprint recognition; Java; Security; Servers; Virtual machining; Access security; Face recognition; Fingerprint identification; Hadoop cloud computing; JamVM Virtual Machine; Linux Embedded Platform;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing (ICGEC), 2011 Fifth International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4577-0817-6
Electronic_ISBN
978-0-7695-4449-6
Type
conf
DOI
10.1109/ICGEC.2011.27
Filename
6042722
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