A New Robust and Reversible Watermarking Technique Based on Erasure Code

Chai, Heyan; Yang, Shuqiang; Jiang, Zoe L.; Wang, Xuan; Chen, Yiqun; Luo, Hengyu

doi:10.1007/978-3-030-38991-8_11

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…Historically, watermarking methods are already used to make sure ownership safeguards as well as tamper proofing for different details platforms II. RELATED WORK Database watermarking was first of all released in 2002 [1]. Since then, several techniques are recommended.…”

Section: Introductionmentioning

confidence: 99%

Database Security with Fingerprint Masking

RM¹

2022

IJRASET

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Information in numerous areas including medication, business, and science wasso crucial, in which directories are utilized efficiently for information sharing.Nevertheless, the directories confront the danger to be pirated, taken or even misused, which might lead to many of protection risks regarding ownership rights, informationtampering as well as secrecy safeguards. Watermarking is the technology which is used to secure the database from the various attacks.It is also used to hide the content from the un authorized users. The majority of state-of-the- art techniques alter the initial information to a big level, lead to information quality wreckage,and then can't attain balance that is good between robustness from malicious strikes as well as information restoration. we suggest a reversible and robust watermarking method with Genetic Algorithm and Histogram ShiftingWatermarking (GAHSW) to relation the numerical data. This algorithm used to get the unique key for the database as well as the watermarked place. Experimental evaluation show the usefulness and methods within theterminology of robustness from malicious strikes as well as upkeep of information quality.We have achieved the security level on comparing with existing system

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Section: Introductionmentioning

confidence: 99%

Database Security with Fingerprint Masking

RM¹

2022

IJRASET

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Comparative Analysis of Relational Database Watermarking Techniques: An Empirical Study

Rani

Halder

2022

IEEE Access

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Digital watermarking is considered one of the most promising techniques to verify the authenticity and integrity of digital data. It is used for a wide range of applications, e.g., copyright protection, tamper detection, traitor tracing, maintaining the integrity of data, etc. In the past two decades, a wide range of algorithms for relational database watermarking has been proposed. Even though a number of surveys exist in the literature, they are unable to provide insightful guidance to choose the right watermarking technique for a given application. In this paper, we provide an exhaustive empirical study and thorough comparative analysis of various relational database watermarking techniques in the literature. Our work is different from the existing survey papers as we consider both distortion-based and distortion-free techniques along with a rigorous experimental analysis demonstrating a detailed comparison on robustness, data usability, and computational cost with considerable empirical evidence. INDEX TERMSDigital watermarking, relational database, empirical study, robustness, data usability. RAJU HALDER (Member, IEEE) received the Ph.D. degree from Università Ca´Foscari, Italy, in 2012. He is currently an Associate Professor with the Department of Computer Science and Engineering, IIT Patna. Before joining IIT Patna, he worked as a Postdoctoral Researcher with Macquarie University, Australia. He worked with the Robotics Team at HASLab (University of Minho), Portugal, in 2016. Prior to his Ph.D. degree, he had also worked as an Associate System Engineer at IBM India Private Ltd., from 2007 to 2008. His research interests include formal methods, blockchain technology, program analysis and verification, and data privacy and security.

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A New Robust and Reversible Watermarking Technique Based on Erasure Code

Cited by 2 publications

References 15 publications

Database Security with Fingerprint Masking

Database Security with Fingerprint Masking

Comparative Analysis of Relational Database Watermarking Techniques: An Empirical Study

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