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1. Secure service model for remotely sensed data in cloud computing | |||
Xu Zhengquan,Xiong Lizhi | |||
Surveying and Mapping Technology 16 May 2016 | |||
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Abstract: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. | |||
TO cite this article:Xu Zhengquan,Xiong Lizhi. Secure service model for remotely sensed data in cloud computing[OL].[16 May 2016] http://en.paper.edu.cn/en_releasepaper/content/4691102 |
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