Title :
Tamper Detection of Relational Database Based on SVR Predictive Difference
Author :
Wu, Hsien-Chu ; Hsu, Fang-Yu ; Chen, Hwang-Yu
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taichung Inst. of Technol., Taichung
Abstract :
Database authentication verifies valuable content from illicit copying, illegal redistribution and maliciously tamper while it is to be sold or be outsourced to un-trusted parties. This paper exploits the digital watermarking technology for guaranteeing the database integrity underlying distortion free of database content. The proposed scheme employs SVR predictive function to obtain characteristic of the database and uses Huffman coding to encode the characteristic for compressing important payload information. In detection phase, minor and necessary additional payload information of the database is used to accomplish tampering detection.
Keywords :
regression analysis; relational databases; security of data; support vector machines; watermarking; Huffman coding; database authentication; database content; database integrity; digital watermarking technology; illegal redistribution; illicit copying; relational database; support vector regression; tamper detection; untrusted parties; Authentication; Computer science; Cryptography; Data security; Internet; Payloads; Protection; Relational databases; Robustness; Watermarking; Database watermarking; fragile watermarking; machine learning; support vector regression; tamper detection;
Conference_Titel :
Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-3382-7
DOI :
10.1109/ISDA.2008.165