A Robust Authentication Algorithm for Medical Images Based on Fractal Brownian Model and Visual Cryptography

A Robust Authentication Algorithm for Medical Images Based on Fractal Brownian Model and Visual Cryptography

In this paper, we aimed to discuss the security authentication requirements of medical images in the medical network, and a security authentication method is designed based on fractal and visual cryptography. Based on the discrete fractal Brownian random field model, the gray-level statistical infor...

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Main Authors: Sun Tiankai, Wang Xingyuan, Jiang Daihong, Lin Da, Ding Bin, Li Dan
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Scientific Programming
Online Access:http://dx.doi.org/10.1155/2020/6642586
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spelling doaj-b6f09163d4ec4c91b0aaca0115ff38e42021-07-02T14:39:48ZengHindawi LimitedScientific Programming1058-92441875-919X2020-01-01202010.1155/2020/66425866642586A Robust Authentication Algorithm for Medical Images Based on Fractal Brownian Model and Visual CryptographySun Tiankai0Wang Xingyuan1Jiang Daihong2Lin Da3Ding Bin4Li Dan5Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, ChinaFaculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, ChinaSchool of Information and Electrical Engineering, Xuzhou University of Technology, Xuzhou 221008, ChinaSchool of Information and Electrical Engineering, Xuzhou University of Technology, Xuzhou 221008, ChinaSchool of Information and Electrical Engineering, Xuzhou University of Technology, Xuzhou 221008, ChinaSchool of Information and Electrical Engineering, Xuzhou University of Technology, Xuzhou 221008, ChinaIn this paper, we aimed to discuss the security authentication requirements of medical images in the medical network, and a security authentication method is designed based on fractal and visual cryptography. Based on the discrete fractal Brownian random field model, the gray-level statistical information and spatial structure information of medical images is fully mined. The gray distribution of medical images is expressed in the form of fractal features. By using the spatial data mining methods, the data of fractal structure space is analyzed, and by using the stability of the energy structure, the authentication features are formed. Using the visual cryptography (VC), the robustness of the authentication method is further enhanced. Through the centralized test of common medical images and the comparison analysis with existing methods, it is further verified that the method is effective against common attacks such as JPEG compression, scaling, rotation operation, clipping, added noise, filtering, and blurring.http://dx.doi.org/10.1155/2020/6642586
collection DOAJ
language English
format Article
sources DOAJ
author Sun Tiankai
Wang Xingyuan
Jiang Daihong
Lin Da
Ding Bin
Li Dan
spellingShingle Sun Tiankai
Wang Xingyuan
Jiang Daihong
Lin Da
Ding Bin
Li Dan
A Robust Authentication Algorithm for Medical Images Based on Fractal Brownian Model and Visual Cryptography
Scientific Programming
author_facet Sun Tiankai
Wang Xingyuan
Jiang Daihong
Lin Da
Ding Bin
Li Dan
author_sort Sun Tiankai
title A Robust Authentication Algorithm for Medical Images Based on Fractal Brownian Model and Visual Cryptography
title_short A Robust Authentication Algorithm for Medical Images Based on Fractal Brownian Model and Visual Cryptography
title_full A Robust Authentication Algorithm for Medical Images Based on Fractal Brownian Model and Visual Cryptography
title_fullStr A Robust Authentication Algorithm for Medical Images Based on Fractal Brownian Model and Visual Cryptography
title_full_unstemmed A Robust Authentication Algorithm for Medical Images Based on Fractal Brownian Model and Visual Cryptography
title_sort robust authentication algorithm for medical images based on fractal brownian model and visual cryptography
publisher Hindawi Limited
series Scientific Programming
issn 1058-9244
1875-919X
publishDate 2020-01-01
description In this paper, we aimed to discuss the security authentication requirements of medical images in the medical network, and a security authentication method is designed based on fractal and visual cryptography. Based on the discrete fractal Brownian random field model, the gray-level statistical information and spatial structure information of medical images is fully mined. The gray distribution of medical images is expressed in the form of fractal features. By using the spatial data mining methods, the data of fractal structure space is analyzed, and by using the stability of the energy structure, the authentication features are formed. Using the visual cryptography (VC), the robustness of the authentication method is further enhanced. Through the centralized test of common medical images and the comparison analysis with existing methods, it is further verified that the method is effective against common attacks such as JPEG compression, scaling, rotation operation, clipping, added noise, filtering, and blurring.
url http://dx.doi.org/10.1155/2020/6642586
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