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Secure service model for remotely sensed data in cloud computing
Xu Zhengquan * #,Xiong Lizhi
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079
*Correspondence author
#Submitted by
Subject:
Funding: Doctoral Program of Higher Education of China/高等学校博士学科点专项科研基金博导类资助课题 Grant （No.No.20110141110056), National Natural Science Foundation of China Grant）
Opened online:23 May 2016
Accepted by: none
Citation: Xu Zhengquan,Xiong Lizhi.Secure service model for remotely sensed data in cloud computing[OL]. [23 May 2016] http://en.paper.edu.cn/en_releasepaper/content/4691102
 
 
Remotely sensed data sharing services are attracting more and more attention. Advanced cloud computing technologies provide huge storage and efficient support for remotely sensed big data services. However, the security of stored remotely sensed data and usage security in the cloud computing environment have become urgent issues. To address these problems we propose a secure model for remote sensing images (RSIs) in the cloud computing environment. The proposed model not only ensures RSI security without relying on the trustworthiness of cloud servers, but also protects RSI copyrights. Theoretical analysis confirms the correctness of the proposed encryption model and justifies the security of the proposed scheme.
Keywords:remotely sensed data; secure service; re-encryption
 
 
 

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