An Image Based Algorithm for Watermarking Relational Databases

Hu, Zhongyan; Cao, Zaihui; Sun, Jie

doi:10.1109/icmtma.2009.278

Cited by 23 publications

(16 citation statements)

References 9 publications

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“…Zhongyan Hu et al [7] proposed an image based algorithm for watermarking relational databases. They propose a novel watermarking method, which embeds an image watermark into relational results verify the effectiveness of the database.…”

Section: Related Workmentioning

confidence: 99%

Distortion less watermarking of relational databases based on circular histogram modulation

Paul¹,

Sunitha²

2015

2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]

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Security is an important aspect of an information system in terms of its confidentiality, integrity and availability. Relational Databases are more and more remotely accessed and shared through the network because of growing economical value of the data in the real world. Cryptography and Watermarking are two kinds of security mechanisms, but cryptography does not provide posteriori protection to the data. Watermarking appears as an interesting security mechanism that can provide copyright protection and ownership verification of the data. Watermarking of relational databases is one of the fastest growing areas of research. This paper proposes a new method for increasing the capacity and privacy of watermarking based on circular histogram modulation by taking the host system as colour image. By increasing the capacity it can be beneficial for secure transmission of huge databases like hospital records through the network.

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Section: Related Workmentioning

confidence: 99%

Distortion less watermarking of relational databases based on circular histogram modulation

Paul¹,

Sunitha²

2015

2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]

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“…Using images for user authentication has been in speculation for a period of time [1,[3][4][5]8] and the idea of using video has also appeared [9,12]. We briefly review some basic technologies that are currently used for preventing/detecting information leakage in this section.…”

Section: Technology and Motivationmentioning

confidence: 99%

“…Watermark methodology [1,3] of protecting data is based on embedding a unique code to every copy of the data. The method provides good security, but it involves the modification of the original data, which is not a desired thing in a common sense.…”

Section: Technology and Motivationmentioning

confidence: 99%

“…However, the text based passwords are prone to dictionary attacks where attackers use a common set of words called the dictionary. To improve the security, graphics based authentication systems have been proposed and some are fully implemented and used [3,5,8,11]. It is obvious that the media based approaches could improve the security in a certain amount, but there exist no clear comparative studies on the performance of the media based authentication systems.…”

Section: Introductionmentioning

confidence: 99%

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Performance of media based information leakage protection

Venktachalam

Park

2013

2013 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)

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There are many occasions that an organization needs to distribute important data to only authorized agents. However, there might happen illegal interceptions of the data by unauthorized agents. Commonly used methods of protecting information from unauthorized accesses have been based on text, but there have also appeared media based approaches in the literature. In this paper, we model and implement several combinations of the authentication systems based on the methods of using text, image and video, and evaluate their performances. In our practice, we developed 13 refined combinations of the testing models and implemented them in Java with Visual Studio as the front-end and a SQL server as the back-end. Performance analysis is done comparatively in the aspects of information protection rate and system access time delay. The experimental results revealed that the model with the combination of a text and 1 or 2 images with fine-grained access yielded the best performance with very low overheads.

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“…Rakesh Agrawal and Kiernan [2] introduced the idea for watermarking Relational Database for the first time, many people have given their own algorithm for preserving relational database integrity. Hu,Cao and Sun [6] have suggested a scheme using an image as watermarks, while Pournaghshband [8] have tried to introduce 'fake' tuples among the original tuples. However, our technique successfully tested for reducing the chances of Subset Selection attack.…”

Section: Related Workmentioning

confidence: 99%

Content characteristics based robust watermarking for relational database: a new approach to database security

Kumar¹,

Verma²

2018

IJET

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Digital data such as text, relational database, audio, video and software are intellectual property of creators/ writers/owners. The database services have become easily available and economical since the booming of internet. However, their outsourcing through the internet accompanies multiple threats like copying, modifying as well as unauthorized distribution. Relational Database has a wide-spread use in many real-life applications, hence, it is essential to maintain integrity and provide copyright protection. To counter the threats, watermarking techniques have been playing a vital role since the last decade. As a security measure, Relational Database Watermarking is becoming more popular and strengthened day-by-day. This is also one of the upcoming areas of interest among researchers of the Database Security. A technique earlier used for Image Watermarking is applied to watermark Relational Databases. In Image Watermarking technique, a pixel or a pair of pixels must satisfy certain characteristics. Usually, database watermarking techniques concentrate on hiding a watermark in database. Extraction and matching of hidden watermark with original watermark confirms ownership of database. This paper demonstrates the use of image watermarking technique for relational databases. Here we align some properties of attributes of database by changing some bit(s) in attribute value. Using secret key, we have ensured that values of two attributes of a tuples satisfy some bit-similarity property and to do so, we slightly alter values of attributes. Detection of such characteristic in a database using secret key can be done easily to verify the presence of a watermark.

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An Image Based Algorithm for Watermarking Relational Databases

Cited by 23 publications

References 9 publications

Distortion less watermarking of relational databases based on circular histogram modulation

Distortion less watermarking of relational databases based on circular histogram modulation

Performance of media based information leakage protection

Content characteristics based robust watermarking for relational database: a new approach to database security

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