混沌(操作系统)
计算机科学
方案(数学)
计算机视觉
目标检测
隐私保护
人工智能
图像(数学)
稳健性(进化)
对象(语法)
计算机安全
数据挖掘
模式识别(心理学)
数学
化学
数学分析
基因
生物化学
作者
Yuexi Peng,Zixin Lan,Zhijun Li,Chunlai Li
标识
DOI:10.1109/tii.2024.3357197
摘要
Incidents of cloud data leakage by internet companies have occurred frequently, and the issue of image privacy has gradually attracted people's attention. Traditional image encryption protects the privacy of image while sacrificing the visual usability, which is obviously not suitable for cloud storage. A novel encryption scheme combining traditional encryption with thumbnail-preserving encryption is proposed. The proposed encryption scheme divides the original image into visual and nonvisual images, and uses different schemes for encryption processing. Users can choose through visual images at cloud service, and nonvisual images are hidden in invisible databases. A series of representative thumbnail-preserving encryption experiments have proven the superiority of the scheme. Furthermore, object detection has been used for the first time. Compared with existing methods, the proposed scheme also exhibits superior performance in the same environment.
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