Application of Robust Zero-Watermarking Scheme Based on Federated Learning for Securing the Healthcare Data

2021 ◽  
pp. 1-1
Author(s):  
Baoru Han ◽  
Rutvij Jhaveri ◽  
Han Wang ◽  
Dawei Qiao ◽  
Jinglong Du
Keyword(s):  
Healthcare Data ◽  
Zero Watermarking ◽  
Watermarking Scheme

scholarly journals Dual Zero-Watermarking Scheme for Two-Dimensional Vector Map Based on Delaunay Triangle Mesh and Singular Value Decomposition

2019 ◽  
Vol 9 (4) ◽  
pp. 642 ◽  
Author(s):  
Xu Xi ◽  
Xinchang Zhang ◽  
Weidong Liang ◽  
Qinchuan Xin ◽  
Pengcheng Zhang
Keyword(s):  
Singular Value Decomposition ◽  
Singular Value ◽  
Two Dimensional ◽  
Triangle Mesh ◽  
Vector Map ◽  
Vector Maps ◽  
Feature Sequence ◽  
Zero Watermarking ◽  
Value Decomposition ◽  
Watermarking Scheme

Digital watermarking is important for the copyright protection of electronic data, but embedding watermarks into vector maps could easily lead to changes in map precision. Zero-watermarking, a method that does not embed watermarks into maps, could avoid altering vector maps but often lack of robustness. This study proposes a dual zero-watermarking scheme that improves watermark robustness for two-dimensional (2D) vector maps. The proposed scheme first extracts the feature vertices and non-feature vertices of the vector map with the Douglas-Peucker algorithm and subsequently constructs the Delaunay Triangulation Mesh (DTM) to form a topological feature sequence of feature vertices as well as the Singular Value Decomposition (SVD) matrix to form intrinsic feature sequence of non-feature vertices. Next, zero-watermarks are obtained by executing exclusive disjunction (XOR) with the encrypted watermark image under the Arnold scramble algorithm. The experimental results show that the scheme that synthesizes both the feature and non-feature information improves the watermark capacity. Making use of complementary information between feature and non-feature vertices considerably improves the overall robustness of the watermarking scheme. The proposed dual zero-watermarking scheme combines the advantages of individual watermarking schemes and is robust against such attacks as geometric attacks, vertex attacks and object attacks.

scholarly journals A Fragile Zero Watermarking Scheme to Detect and Characterize Malicious Modifications in Database Relations

2013 ◽  
Vol 2013 ◽  
pp. 1-16 ◽  
Author(s):  
Aihab Khan ◽  
Syed Afaq Husain
Keyword(s):  
Data Quality ◽  
Relational Database ◽  
Relational Databases ◽  
Original Data ◽  
Experimental Results ◽  
Zero Watermarking ◽  
Watermarking Scheme ◽  
Database Relation ◽  
Data Usability ◽  
Data Modifications

We put forward a fragile zero watermarking scheme to detect and characterize malicious modifications made to a database relation. Most of the existing watermarking schemes for relational databases introduce intentional errors or permanent distortions as marks into the database original content. These distortions inevitably degrade the data quality and data usability as the integrity of a relational database is violated. Moreover, these fragile schemes can detect malicious data modifications but do not characterize the tempering attack, that is, the nature of tempering. The proposed fragile scheme is based on zero watermarking approach to detect malicious modifications made to a database relation. In zero watermarking, the watermark is generated (constructed) from the contents of the original data rather than introduction of permanent distortions as marks into the data. As a result, the proposed scheme is distortion-free; thus, it also resolves the inherent conflict between security and imperceptibility. The proposed scheme also characterizes the malicious data modifications to quantify the nature of tempering attacks. Experimental results show that even minor malicious modifications made to a database relation can be detected and characterized successfully.

scholarly journals A Zero-Watermarking Scheme using Discrete Wavelet Transform

2015 ◽  
Vol 70 ◽  
pp. 603-609 ◽  
Author(s):  
Asha Rani ◽  
Amandeep K. Bhullar ◽  
Deepak Dangwal ◽  
Sanjeev Kumar
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Discrete Wavelet ◽  
Zero Watermarking ◽  
Watermarking Scheme
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