DocumentCode :
120564
Title :
A robust multiple watermarking technique for information recovery
Author :
Khanduja, Vidhi ; Chakraverty, Shampa ; Verma, Om Prakash ; Tandon, Ravi ; Goel, Shivani
Author_Institution :
Dept. of Comput. Eng., Netaji Subhas Inst. of Technol., New Delhi, India
fYear :
2014
fDate :
21-22 Feb. 2014
Firstpage :
250
Lastpage :
255
Abstract :
Digital databases serve as the vehicles for compiling, disseminating and utilizing all forms of information that are pivotal for societal development. A major challenge that needs to be tackled is to recover crucial information that may be lost due to malicious attacks on database integrity. In the domain of digital watermarking, past research has focused on robust watermarking for establishing database ownership and fragile watermarking for tamper detection. In this paper, we propose a new technique for multiple watermarking of relational databases that provides a unified solution to two major security concerns; ownership identification and information recovery. In order to resolve ownership conflicts a secure watermark is embedded using a secret key known only to the database owner. Another watermark encapsulates granular information on user-specified crucial attributes in a manner such that the perturbed or lost data can be regenerated conveniently later. Theoretical analysis shows that the probability of successful regeneration of tampered/lost data improves dramatically as we increase the number of candidate attributes for embedding the watermark. We experimentally verify that the proposed technique is robust enough to extract the watermark accurately even after 100% tuple addition or alteration and after 98% tuple deletion.
Keywords :
feature extraction; granular computing; image watermarking; relational databases; security of data; visual databases; database integrity; database ownership; digital databases; digital watermarking; fragile watermarking; granular information; information recovery; malicious attacks; relational databases; robust multiple watermarking technique; societal development; tamper detection; tuple deletion; watermark extraction; Clustering algorithms; Conferences; Relational databases; Robustness; Watermarking; Data Recovery; Digital Watermarking; Right Protection; Robustness; Tamper Detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advance Computing Conference (IACC), 2014 IEEE International
Conference_Location :
Gurgaon
Print_ISBN :
978-1-4799-2571-1
Type :
conf
DOI :
10.1109/IAdCC.2014.6779329
Filename :
6779329
Link To Document :
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