A watermarking technique for relational databases based on partitioning

İmamoğlu, Mustafa Bilgehan; Ulutaş, Mustafa; Ulutaş, Güzin

doi:10.1109/siu.2015.7130283

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…Based on that assumption, the majority of watermarking techniques proposed to protect relational data are PK-dependent (e.g. Franco-Contreras et al, 2014;İmamoglu et al, 2015;Kamran et al, 2013;Melkundi and Chandankhede, 2015;Pérez Gort et al, 2017b).…”

Section: Introductionmentioning

confidence: 99%

HQR-Scheme: A High Quality and resilient virtual primary key generation approach for watermarking relational data

Gort

Feregrino-Uribe

Cortesi

et al. 2019

Expert Systems with Applications

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This work propose metrics to allow a precise measuring of the quality of the Virtual Primary Keys (VPK) generated by any VPK scheme proposed so far, without requiring to perform the watermark embedding, so wasting time can be avoided in case of low-quality detection. We also analyze the main aspects to design the ideal VPK scheme, seeking the generation of high-quality VPK sets adding robustness to the process. Finally, a new scheme is presented along with the experiments carried out to validate and compare the results with the rest of the schemes proposed in the literature. We believe that these findings will be of interest to the readers of Elsevier Expert Systems with Applications Journal. This manuscript is original, has not been published before and is not currently being considered for publication elsewhere.

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Section: Introductionmentioning

confidence: 99%

HQR-Scheme: A High Quality and resilient virtual primary key generation approach for watermarking relational data

Gort

Feregrino-Uribe

Cortesi

et al. 2019

Expert Systems with Applications

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“…Bozulma tabanlı yöntemler sahiplik haklarının korunması için kullanılan damganın saklanması sürecinde veriyi degiştirir [1][2][3][4][5]. Bozulma tabanlı damgalama teknikleri, mevcut veri üzerinde az bozulma meydana getirirler ve kötü niyetli saldırılara karşı güçlüdürler.…”

Section: Introductionunclassified

An effective database watermarking method based on histogram of pairs

Şahin

Ulutaş

İmamoğlu

2016

2016 24th Signal Processing and Communication Application Conference (SIU)

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Özetçe -Bilgilere erişimin gittikçe daha kolay bir hal aldıgı günümüzde, veritabanlarının bütünlügünün korunması önemini artıran bir konu haline geldi. Bu yüzden de bu alandaki çalışmalar gün geçtikçe artmaktadır. Mevcut ilişkisel veritabanı damgalama yöntemlerinin çogu, elde ettigi damgayı orijinal veritabanının içinde tutar. Önerilen yöntemde ise orijinal veritabanından elde edilen damga bagımsız bir yerde tutularak sıfır damgalama uygulanmıştır. Yöntemi sütun degiştirme saldırılarına karşı güçlü hale getirmek için hücre degeri ikili gruplara ayrılıp sütun numarası ikililere eklenmiştir.İkililerin histogramı damga olarak kullanıldı çünkü hücre degerindeki bir degişim veya sütunun degiştirilmesi histogramı etkileyecektir. Deneysel sonuçlar, literatürdeki belirtilen diger çalışmalara kıyasla sütun degiştirme saldırısına karşı saglamlıgının yanında geliştirilmiş bir işlem zamanını da göstermektedir.Abstract-Protecting database integrity has become a matter of increasing importance nowadays as accessing information is getting easier. Therefore, database watermarking approach to protect the integrity become an active research area. Most of the existing relational database watermarking techniques embed a generated watermark in the database. Zero watermarking is employed in the proposed technique by storing the watermark generated from the database in another medium independent from the database. In order to make the method robust to column replacement attacks, cell values are split into overlapping pairs and column number is added to pairs. The histogram of pairs is used as the watermark because any change in either a cell value or column replacement would affect the histogram. Experimental results indicate robustness to column replacement attack as well as improved processing time compared to other works reported in the literature.

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Study of the Watermark Source’s Topology Role on Relational Data Watermarking Robustness

Gort,

Olliaro,

Cortesi

2024

IEEE Access

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Accessing relational databases through web services increases risks of piracy and tampering. Watermarking guarantees data protection without constraining their access and management. Researchers traditionally compare the extracted watermark with the embedded one after simulating attacks to analyze its robustness. However, the literature has not addressed how much watermark signal is retained after querying multi-word textual attributes and how topological features of the watermark affect robustness. In this work, we fill this gap by evaluating a semantics-preserving approach. We execute different classes of queries in three data sets, including an actual database of a public administration. The results show that 99.99% of the marks can be detected when considering a watermark source with a topological factor close to or equal to 1. As valuable contributions, we formally defined the watermark source's topological factor and the corrosion degree of the watermark detection. This work offers hints to data owners to adjust detection parameters, increasing the chances of spotting the watermark despite having, as evidence, data highly damaged due to malicious operations.INDEX TERMS Ownership proof, plagiarism detection, relational data, robust watermarking, watermark topology.

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A watermarking technique for relational databases based on partitioning

Cited by 5 publications

References 4 publications

HQR-Scheme: A High Quality and resilient virtual primary key generation approach for watermarking relational data

HQR-Scheme: A High Quality and resilient virtual primary key generation approach for watermarking relational data

An effective database watermarking method based on histogram of pairs

Study of the Watermark Source’s Topology Role on Relational Data Watermarking Robustness

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