计算机应用与软件2017，Vol.34Issue(12)：64-67,137,5.DOI:10.3969/j.issn.1000-386x.2017.12.012
基于SVR预测的可逆数据库水印技术
REVERSIBLE DATABASE WATERMARKING TECHNOLOGY BASED ON SVR PREDICTION
龙晓泉1
作者信息
- 1. 中移互联网有限公司,广东广州510640
- 折叠
摘要
Abstract
The association rule of FP-tree (frequent pattern tree) uses data mining algorithm to determine the relationship between protected property and other databases.SVR (Support vector regression) method is used to predict each protected attribute value.We propose a method to detect whether the database has been tampered with by embedding the important feature of the original database.By comparing the difference between original and predicted values of the DE (difference expansion),the database administrator can embed digital watermark in a protected database.If the protected database is distorted,it is still possible to predict the protection value under the SVR function.In this paper,FP-tree mining method is used to reduce the training time of SVR.If the database has been tampered with,we can extract the watermark from the protected database to verify and locate the tampered tuples and restore the original attribute value.If the database is not under attack,we can also use the protection of database watermarking.Therefore,the database can effectively verify the integrity of the database and protect the security of the database.关键词
数据库水印/差值扩展/支持向量回归/FP-tree挖掘Key words
Database watermarking/Difference expansion/Support vector regression/FP-tree mining分类
信息技术与安全科学引用本文复制引用
龙晓泉..基于SVR预测的可逆数据库水印技术[J].计算机应用与软件,2017,34(12):64-67,137,5.
