Title
Lossless Watermarking Of Categorical Attributes For Verifying Medical Data Base Integrity
Abstract
In this article, we propose a new lossless or reversible watermarking approach that allows the embedding of a message within categorical data of relational database. The reversibility property of our scheme is achieved by adapting the well known histogram shifting modulation. Based on this algorithm we derive a system for verifying the integrity of the database content, it means detecting addition, removal or modification of any t-uples or attributes. Such a content integrity check is independent of the manner the database is stored or structured. We illustrate the overall capability of our method and its constraints of deployment considering one medical database of inpatient hospital stay records. Especially, we reversibly watermark ICD-10 diagnostic codes.
Year
DOI
Venue
2011
10.1109/IEMBS.2011.6092021
2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Keywords
Field
DocType
relational database,relational databases,categorical data,diagnostic imaging,watermarking,data integrity,databases,histograms,modulation
Histogram,Data mining,Digital watermarking,Embedding,Relational database,Information retrieval,Categorical variable,Computer science,Watermark,Data integrity,Lossless compression
Conference
Volume
ISSN
Citations 
2011
1557-170X
10
PageRank 
References 
Authors
0.63
6
4
Name
Order
Citations
PageRank
Gouenou Coatrieux151344.01
Emmanuel Chazard2138.21
Régis Beuscart35417.72
C. Roux41088.43