DocumentCode :
2861642
Title :
Access Control of Cloud Computing Using Rapid Face and Fingerprint Identification
Author :
Chang, Bao Rong ; Tsai, Hsiu-Fen ; Chen, Chi-Ming ; Huang, Chien-Feng
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Univ. of Kaohsiung, Kaohsiung, Taiwan
fYear :
2011
fDate :
16-18 Dec. 2011
Firstpage :
179
Lastpage :
182
Abstract :
In this paper,a fast access control applied to Hadoop cloud computing using the fingerprint identification and face recognition is introduced.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 from the J2ME environment,and GNU Classpath is viewed as Java Class Libraries.In order to verify effectiveness and efficiency in access control for cloud computing,the rapid face and fingerprint identification has been accomplished successfully within 2.2 seconds to exactly perform the subject identity under the cross-examination.The experimental results show that the one we proposed outperforms two alternative methods.
Keywords :
3G mobile communication; Java; Linux; authorisation; cloud computing; embedded systems; face recognition; fingerprint identification; virtual machines; wireless LAN; 3G mobile communication; Ethernet; GNU Classpath; Hadoop cloud computing; J2ME environment; JamVM virtual machine; Java Class Library; Linux embedded platform; Wi-Fi; access control; face identification; face recognition; fingerprint identification; wireless fidelity; Access control; Cloud computing; Face; Face recognition; Fingerprint recognition; Java; Virtual machining; Access control; Face recogntion; Fingerprint identification; Hadoop cloud computing; JamVM Virtual Machine; Linux Embedded Platform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovations in Bio-inspired Computing and Applications (IBICA), 2011 Second International Conference on
Conference_Location :
Shenzhan
Print_ISBN :
978-1-4577-1219-7
Type :
conf
DOI :
10.1109/IBICA.2011.49
Filename :
6118673
Link To Document :
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