Robust zero-watermarking scheme based on a depthwise overparameterized VGG network in healthcare information security

作者全名："Huang, Tongyuan; Xu, Jia; Tu, Shixin; Han, Baoru"

作者地址："[Huang, Tongyuan; Xu, Jia] Chongqing Univ Technol, Sch Artificial Intelligence, Chongqing 401135, Peoples R China; [Tu, Shixin; Han, Baoru] Chongqing Med Univ, Coll Med Informat, Chongqing 400016, Peoples R China; [Tu, Shixin; Han, Baoru] Gold Phoenix Ind Res Inst Digital Med Things, Chongqing 400039, Peoples R China"

通信作者："Xu, J (通讯作者)，Chongqing Univ Technol, Sch Artificial Intelligence, Chongqing 401135, Peoples R China.; Han, BR (通讯作者)，Chongqing Med Univ, Coll Med Informat, Chongqing 400016, Peoples R China.; Han, BR (通讯作者)，Gold Phoenix Ind Res Inst Digital Med Things, Chongqing 400039, Peoples R China."

来源：BIOMEDICAL SIGNAL PROCESSING AND CONTROL

ESI学科分类：ENGINEERING

WOS号：WOS:000906812700001

JCR分区：Q2

影响因子：5.1

年份：2023

卷号：81

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：Medical image; Zero-watermarking; DO-VGG; CBAM

摘要："As healthcare information technology has rapidly evolved, securely storing and transmitting medical data online and successfully protecting patient privacy are currently the research focus in the healthcare information field. To better protect the security of medical data, this paper introduces deep neural network and convo-lutional block attention module (CBAM) into the study of watermarking techniques and proposes a medical image zero-watermarking scheme based on depthwise overparameterized VGG (DO-VGG). First, we extract the high-dimensional abstract feature information of medical images using the pretrained DO-VGG model. Then, the construction of the zero-watermarking scheme utilizes the mean-perceptual hashing algorithm, which can efficiently resist both common and geometric attacks. Meanwhile, using the improved logistic mapping to encrypt the watermarking image effectively improves the security of the scheme. Experimental results indicate that all NC values of the proposed scheme are maintained above 0.8 under various degrees of attacks, which has good robustness and invisibility. The proposed scheme can satisfy the special requirements of medical image integrity and effectively protect the private information of medical images."

基金机构：General Project of Chongqing Nat-ural Science Foundation of China; Hainan Provincial Natural Science Foundation of China; Postgraduate research innovation project of Chongqing; [cstc2020jcyj-msxmX0422]; [620MS067]; [CYS22694]

基金资助正文："Acknowledgments This work was supported by the General Project of Chongqing Nat-ural Science Foundation of China (No. cstc2020jcyj-msxmX0422) , the Hainan Provincial Natural Science Foundation of China (No. 620MS067) and the Postgraduate research innovation project of Chongqing (No. CYS22694) ."