Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/117951
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- Title
- Robust and reversible numerical set watermarking
- Related
- International Conference on Signal Processing and Multimedia Applications (4th : 2009) (7 - 10 July 2009 : Milan)
- Related
- Assunção, Pedro A. Amado and de Faria, Sérgio M. M.. Proceedings of the International Conference on Security and Cryptography : Milano, July 7 - 10, 2009, p.141-148
- Publisher
- Portugal : INSTICC Press
- Date
- 2009
- FoR/RFCD Code(s)
-
080200 Computation Theory and Mathematics
080300 Computer Software
080400 Data Format
- Author/Creator
- Gupta, Gaurav
- Author/Creator
- Pieprzyk, Josef
- Author/Creator
- Kankanhalli, Mohan
- Description
- Numeric sets can be used to store and distribute important information such as currency exchange rates and stock forecasts. It is useful to watermark such data for proving ownership in case of illegal distribution by someone. This paper analyzes the numerical set watermarking model presented by Sion et. al in “On watermarking numeric sets”, identifies it’s weaknesses, and proposes a novel scheme that overcomes these problems. One of the weaknesses of Sion’s watermarking scheme is the requirement to have a normally-distributed set, which is not true for many numeric sets such as forecast figures. Experiments indicate that the scheme is also susceptible to subset addition and secondary watermarking attacks. The watermarking model we propose can be used for numeric sets with arbitrary distribution. Theoretical analysis and experimental results show that the scheme is strongly resilient against sorting, subset selection, subset addition, distortion, and secondary watermarking attacks.
- Description
- 8 page(s)
- Subject Keyword
- 080200 Computation Theory and Mathematics
- Subject Keyword
- 080300 Computer Software
- Subject Keyword
- 080400 Data Format
- Resource Type
- conference paper
- Organisation
- Macquarie University. Dept. of Computing
- Identifier
- http://hdl.handle.net/1959.14/117951
- Identifier
- ISBN: 9789896740078
- Identifier
- mq-rm-2009006188
- Language
- eng
- Reviewed
