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Detecting the Theft of Natural Language Text Using Birthmark
Pasadena, California, USA December 18-December 20
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IIH-MSP.2006.852006 International Conference on Inte ...
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Jianlong Yang, Tsinghua University, China
Jianmin Wang, Tsinghua University, China
Deyi Li, Tsinghua University, China
To detect the theft of natural language text effectively, we present a novel scheme to derive birthmark from the text. Since birthmark is a unique and native characteristic of every text, a text with the same birthmark of another can be easily suspected of a copy. Ideally, birthmark should satisfy two properties: (a) credibility - independent texts must be distinguished by completely different birthmarks, and (b) resilience - birthmark should be tolerant against meaningpreserving attacks. To evaluate the effectiveness of the proposed birthmark, we conduct two experiments. The first one shows that birthmark successfully distinguishes non-copied files. In the second one, it shows that birthmark has quite good a tolerance against meaning-preserving attacks.
Citation:
Jianlong Yang, Jianmin Wang, Deyi Li, "Detecting the Theft of Natural Language Text Using Birthmark," iih-msp, pp.699-702, 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP'06), 2006
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