A fuzzy searching method for encrypted images

Abstract

The invention discloses a fuzzy searching method for encrypted images. The communication between entities in the method is mainly divided into two parts: encrypted upload and fuzzy search. The participants of the encrypted upload part include the data owner and the cloud server; the participants of the fuzzy search part include the data visitor and the cloud server. The fuzzy search process does not involve the data owner. It can solve the problem that the existing searchable encryption scheme heavily relies on the key, and solve the problem that the key management is difficult in the distributed environment. The method does not need to carry out key management operations such as key safe storage and key safe transmission, thus saving key management overhead. The method can perform image blurring search operation without access authorization, thus saving the overhead of access authorization operation; the method can perform image decryption without decryption authorization, simplifiesthe decryption process, and ensures the correctness and security of the method.

Description

Technical field [0001] The invention belongs to the field of Internet technology, and specifically relates to a fuzzy search method for encrypted images. Background technique [0002] The proliferation of digital activities such as mobile browsing, web search, and social media applications has led to a surge in data volume. The emerging deployment of information sensors in scenarios such as the Internet of Things (IoT), self-driving cars, and video surveillance will inevitably lead to the need to collect, store, access and use huge amounts of additional data. It is estimated that until 2020, the total global data The amount will reach 40ZB. Obviously, mining these data has great prospects, but unrestricted access can pose a major threat to users and data privacy. Due to data storage costs, data management costs, data storage efficiency, and other considerations, big data can no longer use centralized storage like traditional information systems. With the rapid rise of new model...

AI Technical Summary

Problems solved by technology

[0004] In a fully distributed working environment, key management is very difficult. For example, in an IoT environment, cameras and sensors collect a large amount of data from different sources, and these data need to be stored and can be accessed by multiple parties. Then how to manage keys is an important issue. The core problem is not to generate and save these keys, but to determine who should own these keys, because in this scenario it is not clear who the data owner is, and this data is A "everyone" kind of data where everyone can submit data and everyone can access it, making it hard to tell who should have access in this scenario

[0005] In the plaintext search process, it often happens that there is a slight deviation between the search input and the target information

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