A block compressed sensing for images selective encryption in cloud

被引：0

作者：

Liu X. ^{[1
]}

Zhang J. ^{[2
]}

Li X. ^{[2
]}

Zhou S. ^{[1
]}

JinKim H. ^{[3
]}

机构：

[1] College of Computer Science and Electrical Engineering, Hunan University, Changsha

[2] School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha

[3] Business Administration Research Institute, Sungshin W. University, Seoul

来源：

Computers, Materials and Continua | 2020年 / 61卷 / 03期

关键词：

Cloud security; Compressed sensing; Image encryption; Privacy preserving;

D O I：

10.32604/JCS.2019.06013

中图分类号：

学科分类号：

摘要：

The theory of compressed sensing (CS) has been proposed to reduce the processing time and accelerate the scanning process. In this paper, the image recovery task is considered to outsource to the cloud server for its abundant computing and storage resources. However, the cloud server is untrusted then may pose a considerable amount of concern for potential privacy leakage. How to protect data privacy and simultaneously maintain management of the image remains challenging. Motivated by the above challenge, we propose an image encryption algorithm based on chaotic system, CS and image saliency. In our scheme, we outsource the image CS samples to cloud for reduced storage and portable computing. Consider privacy, the scheme ensures the cloud to securely reconstruct image. Theoretical analysis and experiment show the scheme achieves effectiveness, efficiency and high security simultaneously. Copyright © 2019 Tech Science Press

引用

页码：29 / 41

页数：12

共 32 条

[31]

Zhou N., Zhang A., Wu J., Pei D., Yang Y., Novel hybrid image compression¨cencryption algorithm based on compressive sensing, Optik-International Journal for Light and Electron Optics, 125, 18, pp. 5075-5080, (2014)

[32]

Zhu H., Gao L., Li H., Secure and privacy-preserving body sensor data collection and query scheme, Sensors, 16, 2, (2016)

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