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Robust Text Watermarking Technique for Authorship Protection of Hindi Language Documents
Nitin Namdeo Patil, Jayantrao Bhaurao Patil
Pages - 12 - 22     |    Revised - 31-10-2016     |    Published - 01-12-2016
Volume - 7   Issue - 2    |    Publication Date - December 2016  Table of Contents
Authorship, Attacks, Robustness, Swar, Hindi, Corpus.
Digital text documents have become a significantly important part on the Internet. A large number of users are attracted towards this digital form of text documents. But some security threats also arise concurrently. The digital libraries offer effective ways to access educational materials, government e-documents, financial documents, social media contents and many others. However content authorship and tamper detection of all these digital text documents require special attention. Till now, considerably very few digital watermarking techniques exist for text documents. In this paper, we propose a method for effective watermarking of Hindi language text documents. Hindi stands second among all languages across the world. It has widespread availability of its digital contents of various types. In proposed technique, the watermark is logically embedded in the text using 'swar' (vowel) as a special feature of the Hindi language, supported by suitable encryption. In extraction phase the Certificate Authority (CA) plays an important role in the authorship protection process as a trusted third party. The text is decrypted and watermark is extracted to prove genuine authorship. Our technique has been tested for various types of feasible text attacks with different embedding frequency.
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1 Stefan Katzenbeisser Fabien A. P. Petitcolas, Information Hiding Techniques for Steganography and Digital Watermarking. Security Technologies for the World Wide Web, Artech House Computer Security Series, 2000.
2 Kim, Y., Moon, K. and Oh, I. "A text watermarking algorithm based on word classification and inter-wordspace statistics". Proceedings Seventh International Conference on Document Analysis and Recognition, 2003, pp.775 -779.
3 F. A. P. Petitcolas, R. Anderson, M. G. Kuhn. "Information hiding - A survey". Proceeding of the IEEE, 1999, pp. 1062- 1077.
4 F. Hartung, M. Kutter. "Multimedia watermarking techniques". Proceeding of the IEEE, 1999, pp. 1079-1107.
5 Adnan Gutub, Fahd Al-Haidari, Khalid Al-Kahsah, JameelHamodi, "e-Text Watermarking: Utilizing 'Kashida' Extensions in Arabic Language Electronic Writing", Journal of Emerging Technologies in Web Intelligence (JETWI), pp. 48-55, 2010.
6 Alginahi, Yasser M., Muhammad N. Kabir, Omar Tayan. "An Enhanced Kashida-Based Watermarking Approach for Increased Protection in Arabic Text-Documents Based on Frequency Recurrence of Characters." International Journal of Computer and Electrical Engineering, no. 5 pp. 381-392, 2014.
7 Kim Mi-Young, Osmar R. Zaiane, and Randy Goebel. "Natural language watermarking based on syntactic displacement and morphological division." Computer Software and Applications Conference Workshops (COMPSACW), 2010 IEEE 34th Annual. IEEE, 2010.
8 Kim, Mi-Young. "Text watermarking by syntactic analysis." Proceedings. of WSEAS International Conferences on Computers. 2008, pp. 904-909.
9 H. Lu, F. DingYi, G. XiaoLin, C. XiaoJiang, X. XinBai and L. Jin' An, "A New Chinese Text Digital Watermarking for Copyright Protecting Word Document." Communications and Mobile Computing, 2009. CMC '09. WRI International Conference on, Yunnan, 2009, pp. 435-439.
10 Hasan Mesut Meral, Bulent Sankur, A. Sumru Ozsoy, TungaGungor, EmreSevinc. "Natural language watermarking via morphosyntactic alterations."Comput. Speech Lang. 23, 2009, pp.107-125.
11 Zhang, Yingli, Huaiqing Qin, Tao Kong. "A novel robust text watermarking for word document." Proceeding of Image and Signal Processing (CISP), 2010 3rd International Congress on, vol. 1 IEEE, 2010, pp. 38-42.
12 Fu, Zhangjie, Xingming Sun, JiangangShu, Lu Zhou. "Plain Text Zero Knowledge Watermarking Detection Based on Asymmetric Encryption." Advanced Science and Technology Letters 48, 2014.
13 Rizzo, Stefano Giovanni, FlavioBertini, DaniloMontesi. "Content-preserving Text Watermarking through Unicode Homoglyph Substitution." Proceedings of the 20th International Database Engineering & Applications Symposium, ACM, 2016, pp. 97-104.
14 Patil Nitin N, J B Patil. "Implementation of a Novel Watermarking Technique for Devanagari Text." International Journal of Information and Electronics Engineering 5(5), 2015.
15 Nitin Namdeo Patil, Jayantrao Bhaurao Patil. "Performance Analysis of a Novel Text Watermarking Technique for Devanagari Text" In book Proceeding of International Conference on Intelligent Communication, Control and Devices, volume 479, editors Rajesh Singh, Sushabhan Choudhury, Springer Singapore, 2016, pp. 325-333.
16 Mir, Nighat, and Sayed Afaq Hussain. "Web page watermarking: XML files using synonyms and acronyms." World Academy of Science, Engineering and Technology 73 (2011).
17 Jalil, Zunera, Anwar M. Mirza, Tahir Iqbal. "A zero-watermarking algorithm for text documents based on structural components." In Information and Emerging Technologies (ICIET), 2010 International Conference on IEEE, 2010, pp. 1-5.
18 Tayan, Omar, Yasser M. Alginahi, and Muhammed N. Kabir. "An adaptive zero-watermarking approach for authentication and protection of sensitive text documents." In Proceedings of the International Conference on Advances in Computer and Information Technology (ACIT'13). 2013.
19 Sun, Xingming, and Alex Jessey Asiimwe. "Noun-verb based technique of text watermarking using recursive decent semantic net parsers." In International Conference on Natural Computation, pp. 968-971. Springer Berlin Heidelberg, 2005.
20 Vybornova, Olga, and Benoit Macq. "A method of text watermarking using presuppositions." In Electronic Imaging 2007, pp. 65051R-65051R. International Society for Optics and Photonics, 2007.
21 "Top 30 Languages by Number of Native Speakers." Internet Source: http://www.vistawide.com/languages/top_30_languages.html[22 Aug. 2016]
22 Sharma, Richa, Shweta Nigam, Rekha Jain. "Opinion mining in Hindi language: a survey." International Journal in Foundations of Computer Science & Technology (IJFCST), Vol.4, No.2, March 2014, pp. 41-47.
23 "Center for indian language technology." Internet Source: http://www.cfilt.iitb.ac.in/Downloads.html. [22 Aug. 2016]
24 "Technology Development for Indian Languages Programme" Internet Source: http://tdil.mit.gov.in/ [22 Aug. 2016].
Mr. Nitin Namdeo Patil
R.C.Patel Insitute of Technology, Shirpur - India
Dr. Jayantrao Bhaurao Patil
R. C. Patel Institute of Technology, Shirpur - India