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Authorship Protection for Textual Documents

Information on the web has become a production factor. Author of a unique text is unaware of its download, assessment, revision or reuse. At this juncture authorship management becomes a serious issue for digital text. To handle this issue information of the original author must be hidden in the text itself by natural language watermarking. Authorship is protected by linguistically modifying a given cover document in order to encode the authorship message in it. Our work focuses on basic functionalities of natural language watermarking and security requirements for a document to be secure against various known attack. A novel algorithm for refined embedding of authorship information in the form of watermark in natural language texts available online. Embedding of watermark is done without modifying the appearance of the text. Watermark robustness is enhanced via text meaning and the edit distance method