Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Secure image retrieval method based on homomorphic encryption

A technology of homomorphic encryption and encrypted images, which is applied in image data processing, image data processing, computer security devices, etc., and can solve problems such as inability to truly guarantee user information security.

Active Publication Date: 2014-04-23
数安信(北京)科技有限公司
View PDF4 Cites 48 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Aiming at the problem in the prior art that when retrieving an encrypted image, it must first be decrypted and then retrieved, so that the security of user information cannot be truly guaranteed. The present invention proposes an image security retrieval method based on Paillier homomorphic encryption, which encrypts image features. Homomorphic encryption technology allows users to directly calculate and compare encrypted data, so that the encrypted image features can be retrieved without decryption, which can ensure the security of the image without affecting the retrieval performance of the image

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Secure image retrieval method based on homomorphic encryption
  • Secure image retrieval method based on homomorphic encryption
  • Secure image retrieval method based on homomorphic encryption

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0091] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0092] The flowchart of the method of the present invention is as figure 1 As shown, it specifically includes the following steps:

[0093] Step 1, extract the color, texture and shape features of the image in the image library.

[0094] Step 2, use the locality-preserving projection method to reduce the dimensionality of the image features, and after Gaussian normalization, the three types of features are combined into a 49-dimensional feature vector.

[0095] Step 3, use the Paillier homomorphic encryption algorithm to encrypt the rounded features.

[0096] Step 3.1, constructing a Paillier encryption system to generate a public key and a private key, where the parameters p and q used are both 256 bits.

[0097] Step 3.2, integerize the 49-dimensional feature vector;

[0098] In step 3.3, use the Paillier homomorphic encryption algorithm to encryp...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a secure image retrieval method based on homomorphic encryption. The secure image retrieval method includes: firstly, extracting features, such as colors, textures, shapes and the like and reducing dimensions of the image features by a LPP method; secondly, protecting the image features by a Paillier homomorphic encryption algorithm; thirdly, conducting similarity matching of the image features which are encrypted and sending back retrieval results of K images with highest similarity to users. The secure image retrieval method is based on a CBIR structure and adopts a homomorphic encryption technology, so decryption is not needed and direct similarity measurement of the image features which are encrypted can be realized by using by using the homomorphic features of the Paillier encryption algorithm. Accordingly, the problem that the direct retrieval of the image features which are encrypted cannot be realized by the prior retrieval method can be solved. Experiment results prove that the retrieval results of the secure image retrieval method is consistent with the retrieval results of a plaintext CBIR method in the prior art under the condition of ensuring the security of image information, so that the encryption cannot influence the image retrieval performance.

Description

technical field [0001] The invention belongs to the field of multimedia information security, in particular to an image security retrieval method based on homomorphic encryption. Background technique [0002] With the continuous development of cloud computing technology, cloud computing has been gradually applied in entertainment, electric power, transportation, energy and other fields. These industry sectors provide users with various services through cloud computing. Cloud storage is one of the infrastructures of cloud computing. Massive image data is often stored in cloud storage. These image data often contain a large amount of user privacy information. However, the existing cloud storage mechanism does not provide users with Security protection mechanism, the leakage of these private information will cause serious consequences. Issues such as cloud computing security and privacy protection have gradually become key issues that hinder the wider application of cloud com...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06T1/00
CPCG06F16/583G06F21/602G06V10/40
Inventor 卓力张燕彭远帆白宇成博张菁
Owner 数安信(北京)科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products