检索结果-南通市图书馆

LKAW: A robust watermarking Method Based on Large Kernel Convolution and Adaptive Weight Assignment

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

计算机、材料和连续体（英文） 2023年第4期75卷 1-17页

作者： Xiaorui Zhang Rui Jiang Wei Sun Aiguo Song Xindong Wei Ruohan Meng Engineering Research Center of Digital Forensics Ministry of EducationJiangsu Engineering Center of Network MonitoringSchool of Computer and SoftwareNanjing University of Information Science&TechnologyNanjing210044China Wuxi Research Institute Nanjing University of Information Science&TechnologyWuxi214100China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET) Nanjing University of Information Science&TechnologyNanjing210044China School of Automation Nanjing University of Information Science&TechnologyNanjing210044China School of Instrument Science and Engineering Southeast UniversityNanjing211189China School of Teacher Education Nanjing University of Information Science&TechnologyNanjing210044China School of Computer Science Engineering Nanyang Technological UniversitySingapore

robust watermarking requires finding invariant features under multiple attacks to ensure correct extraction.Deep learning has extremely powerful in extracting features,and watermarking algorithms based on deep learning have attracted widespread attention.Most existing methods use 3×3 small kernel convolution to extract image features and embed the watermarking.However,the effective perception fields for small kernel convolution are extremely confined,so the pixels that each watermarking can affect are restricted,thus limiting the performance of the watermarking.To address these problems,we propose a watermarking network based on large kernel convolution and adaptive weight assignment for loss functions.It uses large-kernel depth-wise convolution to extract features for learning large-scale image information and subsequently projects the watermarking into a highdimensional space by 1×1 convolution to achieve adaptability in the channel dimension.Subsequently,the modification of the embedded watermarking on the cover image is extended to more pixels.Because the magnitude and convergence rates of each loss function are different,an adaptive loss weight assignment strategy is proposed to make theweights participate in the network training together and adjust theweight dynamically.Further,a high-frequency wavelet loss is proposed,by which the watermarking is restricted to only the low-frequency wavelet sub-bands,thereby enhancing the robustness of watermarking against image compression.The experimental results show that the peak signal-to-noise ratio(PSNR)of the encoded image reaches 40.12,the structural similarity(SSIM)reaches 0.9721,and the watermarking has good robustness against various types of noise.

关键词： robust watermarking large kernel convolution adaptive loss weights high-frequency wavelet loss deep learning

robust watermarking of databases in order-preserving encrypted domain

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Frontiers of Computer Science 2022年第2期16卷 160-168页

作者： Shijun XIANG Guanqi RUAN Hao LI Jiayong HE College of Information Science and Technology Jinan UniversityGuangzhou 510632China

Security of databases has always been a hot topic in the field of information security.Privacy protection can be realized by encrypting data,while data copyright can be protected by using digital watermarking technology.By combining these two technologies,a database’s copyright and privacy problems in the cloud can be effectively solved.Based on order-preserving encryption scheme(OPES),circular histogram and digital watermarking technology,this paper proposes a new robust watermarking scheme for protection of databases in the encrypted domain.Firstly,the OPES is used to encrypt data to avoid exposing the data in the cloud.Then,the encrypted data are grouped and modified by the use of a circular histogram for embedding a digital watermark.The common data query operations in database are available for the encrypted watermarking database.In receivers,the digital watermark and the original data can be restored through a secret key and a key table.Experimental results have shown that the proposed algorithm is robust against common database attacks in the encrypted domain.

关键词： database copyright robust watermarking orderpreserving encryption circular histogram

A robust 3-D Medical watermarking Based on Wavelet Transform for Data Protection

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2022年第6期41卷 1043-1056页

作者： Xiaorui Zhang Wenfang Zhang Wei Sun Xingming Sun Sunil Kumar Jha Engineering Research Center of Digital Forensics Ministry of EducationJiangsu Engineering Center of Network MonitoringSchool of Computer and SoftwareNanjing University of Information Science&TechnologyNanjing210044China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET) Nanjing University of Information Science&TechnologyNanjing210044China Wuxi Research Institute Nanjing University of Information Science&TechnologyWuxi214100China IT Fundamentals and Education Technologies Applications University of Information Technology and Management in RzeszowRzeszowVoivodeship100031Poland

In a telemedicine diagnosis system,the emergence of 3D imaging enables doctors to make clearer judgments,and its accuracy also directly affects doctors’diagnosis of the disease.In order to ensure the safe transmission and storage of medical data,a 3D medical watermarking algorithm based on wavelet transform is proposed in this paper.The proposed algorithm employs the principal component analysis(PCA)transform to reduce the data dimension,which can minimize the error between the extracted components and the original data in the mean square sense.Especially,this algorithm helps to create a bacterial foraging model based on particle swarm optimization(BF-PSO),by which the optimal wavelet coefficient is found for embedding and is used as the absolute feature of watermark embedding,thereby achieving the optimal balance between embedding capacity and imperceptibility.A series of experimental results from MATLAB software based on the standard MRI brain volume dataset demonstrate that the proposed algorithm has strong robustness and make the 3D model have small deformation after embedding the watermark.

关键词： 3-D medical watermarking robust watermarking PCA BF-PSO

An Error-Correcting Code-Based robust watermarking Scheme for Stereolithographic Files

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2021年第5期37卷 247-263页

作者： Zhuorong Li Huawei Tian Yanhui Xiao Yunqi Tang Anhong Wang School of Criminal Investigation People’s Public Security University of ChinaBeijing100038China School of National Security People’s Public Security University of ChinaBeijing100038China School of Electronic Information Engineering Taiyuan University of Science and TechnologyTaiyuan030024China

Stereolithographic(STL)files have been extensively used in rapid prototyping industries as well as many other fields as watermarking algorithms to secure intellectual property and protect three-dimensional models from theft.However,to the best of our knowledge,few studies have looked at how watermarking can resist attacks that involve vertex-reordering.Here,we present a lossless and robust watermarking scheme for STL files to protect against vertexreordering attacks.Specifically,we designed a novel error-correcting code(ECC)that can correct the error of any one-bit in a bitstream by inserting several check digits.In addition,ECC is designed to make use of redundant information according to the characteristics of STL files,which introduces further robustness for defense against attacks.No modifications are made to the geometric information of the three-dimensional model,which respects the requirements of a highprecision model.The experimental results show that the proposed watermarking scheme can survive numerous kinds of attack,including rotation,scaling and translation(RST),facet reordering,and vertex-reordering attacks.

关键词： Three-dimensional watermarking stereolithographic file robust watermarking error-correcting code

robust AVS audio watermarking

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Science China(Information Sciences) 2010年第3期53卷 607-618页

作者： WANG Yong & HUANG JiWu Guangdong Key Laboratory of Information Security Technology, School of Information Science and Technology, Sun Yat-Sen University, Guangzhou 510275, China Guangdong Key Laboratory of Information Security Technology School of Information Science and Technology Sun Yat-Sen University Guangzhou China

Part Ⅲ of AVS (China Audio and Video Coding Standard) is the first generic audio standard proposed in China and is becoming popular in some applications. For MP3 audio, some effiorts have been made to solve the copyright pirating and malicious modifications by the way of watermarking. To our best knowledge, similar work on the AVS audio has not been explored. In this paper, we present a novel robust watermarking algorithm for AVS audio. We find that the frame type in the AVS coded process can be used as a robust feature for watermarking. Then we design a novel watermarking algorithm which is integrated into the AVS audio coding process. The watermark bits are embedded into the compressed bit stream. At the extracting end, the watermark bits can be extracted from the compressed bit stream directly. This algorithm achieves robustness to decoding/re-coding attacks, and has low computation complexity for both embedding and extracting while preserving the quality of the audio signals.

关键词： AVS audio security problems robust watermarking

robust Image watermarking Using Local Invariant Features and Independent Component Analysis

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Wuhan University Journal of Natural Sciences 2006年第6期11卷 1931-1934页

作者： ZHANG Hanling LIU Jie College of Computer and Communication Hunan University Changsha 410082 Hunan China

This paper proposes a novel robust image watermarking scheme for digital images using local invariant features and Independent Component Analysis （ICA）. Most present watermarking algorithms are unable to resist geometric distortions that desynchronize the location. The method we propose here is robust to geometric attacks. In order to resist geometric distortions, we use a local invariant feature of the image called the scale invariant feature transform, which is invariant to translation and scaling distortions. The watermark is inserted into the circular patches generated by scale-invariant key point extractor. Rotation invariance is achieved using the translation property of the polar-mapped circular patches. Our method belongs to the blind watermark category, because we use Independent Component Analysis for detection that does not need the original image during detection. Experimental results show that our method is robust against geometric distortion attacks as well as signal-processing attacks.

关键词： robust watermarking geometrical attack watermark synchronization local invariant features

A Reframed Watermark Extraction Approach Using the ABC Algorithm

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Electronics 2021年第4期30卷 736-742页

作者： KRICHA Anis KRICHA Zied SAKLY Anis LATIS Lab National School of Engineers of Sousse University of Sousse National School of Engineers of Monastir University of Monastir Higher Institute of Applied Science and Technology of Sousse University of Sousse ESIR Research Unit National School of Engineers of Monastir University of Monastir

The fast development and the rapid spread of information technology have raised the issue of digitalimage copyright protection, which was mostly addressed through robust watermarking. To ensure the survival of the watermark after attacks, most works have been making use of an additional step at the embedding phase,and by so making the scheme unsuitable for real-time implementation. However, to be effective and secure, it is recommended to combine the watermarking algorithm and the capture sensor in one device. In this paper, we brought the extra stage to the detection side. We firstly studied the effect of some signal processing operations on a watermarked image, then we proposed a general model for watermark extraction whose parameters were determined using the artificial bee colony. The efficacy of the proposed method was validated by comparing its robustness with two state-of-art schemes focusing on the watermark extraction.

关键词： robust watermarking Artificial bee colony(ABC) Adaptive extraction

Data Hiding in the Division Domain:Simultaneously Achieving robustness to Scaling and Additive Attacks

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

国际计算机前沿大会会议论文集 2022年第2期 47-58页

作者： Shu Yu Junren Qin Jiarui Deng Shanxiang Lyu Fagang Li College of Cyber Security Jinan UniversityGuangzhou 510632China

Data hiding plays an important role in privacy protection and authentication,but most data hiding methods fail to achieve satisfactory performance in resisting scaling attacks and additive attacks.To this end,this paper proposes a new quantization index modulation(QIM)variant based on division domains(D-QIM).It can not only resist the above two attacks well,but also adjust the performance trade-offs by controlling the parameters.Simulation results confirm the performance gain of D-QIM in terms of the bit error rate(BER).

关键词： Data hiding robust watermarking Quantization index modulation(QIM)

watermarking through image geometry change tracking

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Visual Informatics 2018年第2期2卷 125-135页

作者： Ratnakirti Roy Tauheed Ahmed Suvamoy Changder Department of Computer Science and Engineering National Institute of TechnologyDurgapurWest Bengal713209India Reliability Engineering Centre Indian Institute of TechnologyKharagpurWest BengalIndia

Most of the digital image watermarking techniques are susceptible to geometric attacks such as cropping,rotation and scaling.These attacks are the easiest yet most successful in rendering the survival of watermark difficult.Such geometric operations alter the pixel orientation in the cover thereby rendering the watermark difficult to locate and extract.However,if the alterations produced by the geometric attacks such as scaling,cropping and rotation can be modeled in terms of the change in the image geometry,it is possible to relocate the watermark even after the original cover has suffered an attack.This paper contributes to the state of the art by proposing an image watermarking technique that attempts to model the attacks like cropping,scaling and rotation in terms of the image geometry.The proposed scheme is acceptably resistant to common geometric attacks and common image processing attacks.The watermark embedding is also done efficiently to offer resistance to image processing attacks.The watermark detection procedure is blind and key based,also not requiring the original cover work for watermark extraction.Efforts have been given to ensure that the proposed scheme conforms to robustness against attacks and exhibits high visual fidelity of the watermarked cover.

关键词： watermarking Geometric attacks robust watermarking Image geometry Fidelity