DocumentCode :
3531620
Title :
TSHC: Trusted Scheme for Hadoop Cluster
Author :
Zhou Quan ; Deqin Xiao ; Chunming Tang ; Chunming Rong
Author_Institution :
Key Lab. of Math. & Interdiscipl., Guangzhou Univ., Guangzhou, China
fYear :
2013
fDate :
9-11 Sept. 2013
Firstpage :
344
Lastpage :
349
Abstract :
Hadoop is a Apache project, which has be used at many fields, such online media companies including Facebook, Yahoo, educational service, government. However, there are some security risks or untrust risks in the Hadoop cluster. In the paper, a Trusted Scheme for Hadoop cluster (TSHC) to protect data security with Trusted Computing and cryptography technology is proposed. We first propose the trusted architecture framework for Hadoop cluster with Trusted Computing Base. And then some protocols, which are key management, node trusted management protocol, client access management protocol, node access management protocol, job executing management and data storage and update management, are developed. Moreover, the security analysis proves that the TSHC can efficiently meet the security requirement of Hadoop.
Keywords :
authorisation; cryptographic protocols; pattern clustering; risk analysis; security of data; trusted computing; Apache project; Facebook; TSHC; Yahoo; client access management protocol; cryptography technology; data storage; educational service; job executing management; key management; node access management protocol; node trusted management protocol; security analysis; security risks; trusted scheme for Hadoop cluster; update management; Computer architecture; Cryptography; Educational institutions; Peer-to-peer computing; Protocols; Servers; Hadoop cluster; dara trusted; data confidentiality; security risk; trusted computing base;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Intelligent Data and Web Technologies (EIDWT), 2013 Fourth International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-2140-9
Type :
conf
DOI :
10.1109/EIDWT.2013.66
Filename :
6631644
Link To Document :
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