An Efficient Ciphertext Image Retrieval Method Supporting Privacy Protection in Cloud Environment

Abstract

The invention belongs to the technical field of image retrieval and discloses an efficient cryptograph image retrieval method capable of supporting privacy protection under a cloud environment. The efficient cryptograph image retrieval method capable of supporting the privacy protection under the cloud environment comprises the steps that an image owner firstly extracts characteristic vectors of an image in a database and encrypts the image by an AES or RSA encryption manner; the owner establishes indexes using a hierarchical K-means algorithm based on the characteristic vectors and uses a safe mode Hash technology to encrypt the indexes; and the encrypted image and indexes are uploaded to a cloud server, and a retrieval operation is executed. According to the invention, the privacy protection of the cryptograph image retrieval can be achieved, and retrieval accuracy equivalent with public image retrieval can be reached. In addition, detailed safety analysis of the disclosed method is conducted, and experimental assessment of efficiency and accuracy is conducted in different datasets. Results indicate that the method disclosed by the invention can reach expected safety targets, and can increase retrieval efficiency on the premise of ensuring retrieval accuracy.

Description

technical field [0001] The invention belongs to the technical field of ciphertext image retrieval, and in particular relates to an efficient ciphertext image retrieval method supporting privacy protection in a cloud environment. Background technique [0002] With the emergence of smart mobile devices and the popularization of the Internet, more and more multimedia data are generated, which appear in people's lives every day in the form of images, videos, and audio. The more data, the more storage energy is required, especially for multimedia data. While mobile devices are often limited by battery life, RAM storage, computing power, etc. Considering that images will consume a lot of storage space, the first challenge users face is limited storage and processing power. As a result, people often choose to outsource storage and retrieval to cloud computing. Compared with traditional computing methods, cloud computing can achieve better computing capabilities by using distribut...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the current image retrieval methods have serious resource consumption, or have relatively large calculation and communication overheads.

Images