DocumentCode :
2875579
Title :
Unattended Remote Attestation Delegation for Grid Computing
Author :
Cheng, Ge
Author_Institution :
Sch. of Math. & Comput. Sci., Xiangtan Univ., Xiangtan, China
fYear :
2009
fDate :
9-11 July 2009
Firstpage :
204
Lastpage :
207
Abstract :
The trusted computing is popularity in Grid arch to improve the grid security. Especially, remote attestation allows the grid user verify the authenticity of the remote resource. However, in the grid environment, remote attestation based on the hash value of platformpsilas initial configuration is closely related to the job requirements of grid user, which leads to the interaction between the grid user and the remote resource. But there always need unattended remote attestation in grid. In this paper, we give an unattended remote attestation delegation to resolve the issue, which allow the grid user delegate his job related security requirement to the remote attestation delegation. We change the traditional attestation way which makes the resources of the candidate node platform to launch attestation. At the same time we allow grid users to bind his job to the PCR value of platform that he expected and entrust to the remote attestation delegation. So only to meet the security needs of Grid user, the platform will be able to perform userpsilas job. In this way we avoid the risk of divulging sensitive information while distributing the job in the fragile Grid middleware.
Keywords :
grid computing; middleware; security of data; grid computing; grid security; hash value; job distribution; middleware; remote resource authenticity; security requirement; trusted computing; unattended remote attestation delegation; Cloud computing; Computer architecture; Computer networks; Data security; Grid computing; Information security; Mathematics; Middleware; Secure storage; Technological innovation; Unattended Remote Attestation; grid computing; trusted computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Architecture, and Storage, 2009. NAS 2009. IEEE International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3741-2
Type :
conf
DOI :
10.1109/NAS.2009.44
Filename :
5197323
Link To Document :
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