A Secure and Efficient Method for Remote Sensing Imagery Distribution in Cloud Computing

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. Therefore, 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 method for remote sensing images (RSIs) in the cloud computing environment. The proposed method not only ensures RSI security without relying on the trustworthiness of cloud servers, but also protects RSI copyrights and extends RSI exploration. Theoretical analysis justifies the security of the proposed scheme. The computation cost of the proposed scheme is acceptable and adjusts to different security levels.