Privacy-protected encrypted image retrieval method and system

Abstract

The invention discloses a privacy-protected encrypted image retrieval method and system, and the method comprises the specific implementation steps that an image owner extracts the feature vector of an image, encrypts the image and the feature vector, and uploads the encrypted image and the encrypted feature vector to a cloud server; when a query user searches, a query vector of a query image is extracted and encrypted, and a trap door is generated from the encrypted query vector and a set similarity query threshold and sent to the cloud server; and the cloud server retrieves the encrypted image set according to the query trap door and the index table and returns a retrieval result to the query user, and the query user decrypts the retrieval result to obtain a retrieval result. According to the method and system, based on the chaotic mapping image encryption algorithm, the convolutional neural network model is adopted to extract the image features, the image retrieval efficiency is improved, and finally, the cloud server only returns similar results within the threshold range and does not perform similar sorting, so that the security is further improved. The whole retrieval processis achieved in a ciphertext domain, and safe retrieval of the image is effectively achieved on the premise that stored data information and retrieval result related information are not leaked.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to a privacy-protected encrypted image retrieval method and system. Background technique [0002] With the development of Internet technology, the application of social network platforms is also booming, and network users generate a large number of images every day, resulting in an increasing demand for image retrieval. In the process of image retrieval, sufficient storage space and computing resources are often required, and it is often difficult for image owners to meet these requirements. With the increasing popularity of cloud computing and storage, migrating services to cloud servers has quickly become a trend for massive data storage and management. Although this reduces the burden on image owners, it also leads to new privacy leaks. In order to protect the information in the image database from being leaked during the storage and retrieval process, generally, the image owner ...

AI Technical Summary

Problems solved by technology

[0005]Aiming at the problems of privacy leakage and retrieval efficiency of retrieval results in the existing security retrieval technology, a privacy-protected encrypted image retrieval method and system are proposed. Retrieve similar images in the library. The image owner encrypts the image and uploads it to

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