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首页> 外文期刊>Journal of Real-Time Image Processing >Secure real-time image protection scheme with near-duplicate detection in cloud computing
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Secure real-time image protection scheme with near-duplicate detection in cloud computing

机译：云计算中几乎重复检测的安全实时图像保护方案

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摘要

With advancements in technologies of the Internet and multi-media, various images need to be generated and transmitted anytime. Restricted by local constrained storage space, users can store their images with the assist of the cloud. However, the cloud is a remote semi-trusted party that may extract stored images for adversaries due to monetary reasons. In this paper, a secure real-time image protection scheme is proposed, which can be used to enhance the security of the stored images in cloud computing. Moreover, the convergent encryption is used to construct our scheme, which can provide functionalities of image deduplication checking and near-duplicate detection for the image owner. To improve the efficiency of the near-duplicate detection, deep learning is exploited in our scheme to extract images. Security analysis indicates that the proposed scheme can meet the security requirements of correctness and security. Performance analysis shows that the proposed scheme can be performed with low computational cost.
机译：随着因特网和多媒体技术的进步，需要随时生成和传输各种图像。受本地受限存储空间的限制，用户可以在云的帮助下存储其图像。但是，云是一个远程的半受信任方，由于金钱原因，它可能会为对手提取存储的图像。本文提出了一种安全的实时图像保护方案，可以用来提高云计算中存储图像的安全性。此外，使用收敛加密来构造我们的方案，该方案可以为图像所有者提供图像重复数据删除检查和近重复检测功能。为了提高近重复检测的效率，在我们的方案中利用了深度学习来提取图像。安全分析表明，该方案可以满足正确性和安全性的安全要求。性能分析表明，该方案可以以较低的计算成本执行。

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