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題 名 | Correlation Coeffecient Analysis of Original and Watermarked Dataset for Data Usability |
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作 者 | Aihab Khan; Syed Afaq Hussain; Malik Sikander Hayat Khayal1; QuratulAin; | 書刊名 | Journal of The Chinese Institute of Engineers |
卷 期 | 36:4 2013.06[民102.06] |
頁 次 | 頁411-421 |
分類號 | 448.6 |
關鍵詞 | Watermarking; Digital rights management; Correlation analysis; Relational databases; |
語 文 | 英文(English) |
英文摘要 | Watermarking techniques presented in recent literature is an effective measure for copyright protection of digital assets. These watermarking techniques focus on watermarking algorithms along with proof of robustness against various malicious attacks but do not contribute in evaluating these techniques for effectiveness. Watermarked datasets obtained from watermarking techniques for relational databases are available on public networks for sale and outsourcing to legitimate users. Also, these watermarked datasets are assumed to be accessible by malicious users for nefarious objectives. It is essential to analyze correlation coefficients of original and watermarked datasets to determine the possible usability of watermarked dataset, if it is pirated by malicious user. In this paper, we put forward a framework for correlation analysis of original and watermarked dataset to determine the possible usability of pirated watermarked dataset. The strength of correlation between original and watermarked dataset is measured by statistical tests like correlation coefficient, hypothesis test, t-test evaluation and regression analysis etc. The watermarked dataset is obtained from row replication technique for watermarking relational databases. Experimental analysis shows increase in variation among original and watermarked dataset and decrease in correlation as the number of watermarks increases. We conclude that low correlation indicates the strength of watermarking technique and also decreases the possible usability of watermarked dataset as it does not provide any useful information to the malicious user. |
本系統中英文摘要資訊取自各篇刊載內容。