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A New Data Hiding Method via Revision History Records on Collaborative Writing Platforms—?A New Data Hiding Method via Revision History Records on Collaborative Writing Platforms? INTRODUCTIONBASIC IDEA OF PROPOSED METHODDATA HIDING VIA REVISION HISTORYCONTENTSEXPERIMENTAL RESULTS INTRODUCTION Bennett [2004]made a good survey about hiding data in text and classified related techniques into three categories:1. format-based methods;2. random and statistical generation;3. linguistic methods. Collaborative writing means an activity involving more than one author to create an article cooperatively on a common platform. Many collaborative writing platforms are available, such as Google Drive, Office Web Apps, Wikipedia, etc., which record revisions generated during the collaborative writing process. The aforementioned methods can only be applied to documents with single authors and single revision versions. A new data hiding method is proposed, which simulates a collaborative writing process to generate a fake document, consisting of an article and its revision history, as a camouflage for message bit embedding. BASIC IDEA OF PROPOSED METHOD We assume that only word sequence corrections occur during a revision. Four characteristics of article revisions are identified and utilized to embed secret messages,1. the author of the revision;2. the number of changed word sequences of the revision;3. the changed word sequences in the revision;4. the word sequences selected from the collaborative writing database DBcw, which replace those of (3). DATA HIDING VIA REVISION HISTORY 1 Collaborative Writing Database Construction For example, assume Di = “National Chia Tang University〞 andDi?1 = “National Chiao Tung University.〞 Then, the correction pair s1, s1’ = “Chia Tang〞, “Chiao Tung〞 is generated and included into DBcw.LCS Algorithm 2 Secret Message Embedding In the phase of message embedding with a cover document D0 as the input, the proposed system is designed to generate
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