We discuss and compare robust hash functions for natural text with respect to their performance regarding text modification and natural language watermark embedding. Our goal is to identify algorithms suitable for efficiently identifying watermarked copies of eBooks before watermark detection. © IFIP International Federation for Information Processing 2013.
CITATION STYLE
Steinebach, M., Klöckner, P., Reimers, N., Wienand, D., & Wolf, P. (2013). Robust hash algorithms for text. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8099 LNCS, pp. 135–144). https://doi.org/10.1007/978-3-642-40779-6_11
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