A REVIEW AND OPEN ISSUES OF DIVERSE TEXT WATERMARKING TECHNIQUES IN SPATIAL DOMAIN

Nowadays, information hiding is becoming a helpful technique and fetches more attention due to the fast growth of using the internet; it is applied for sending secret information by using different techniques. Watermarking is one of major important technique in information hiding. Watermarking is of hiding secret data into a carrier media to provide the privacy and integrity of information so that no one can recognize and detect it's accepted the sender and receiver. In watermarking, many various carrier formats can be used such as an image, video, audio, and text. The text is most popular used as a carrier files due to its frequency on the internet. There are many techniques variables for the text watermarking; each one has its own robust and susceptible points. In this study, we conducted a review of text watermarking in the spatial domain to explore the term text watermarking by reviewing, collecting, synthesizing and analyze the challenges of different studies which related to this area published from 2013 to 2018. The aims of this paper are to provide an overview of text watermarking and comparison between approved studies as discussed according to the Arabic text characters, payload capacity, Imperceptibility, authentication, and embedding technique to open important research issues in the future work to obtain a robust method.

[1]  Prabhishek Singh,et al.  A Survey of Digital Watermarking Techniques, Applications and Attacks , 2013 .

[2]  E. Avci,et al.  A Watermarking Application for Authentication of Holy Quran , 2013, 2013 Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences.

[3]  Weijia Jia,et al.  Blind Detection of Spread Spectrum Flow Watermarks , 2009, IEEE INFOCOM 2009.

[4]  Aaqib Rashid Digital Watermarking Applications and Techniques: A Brief Review , 2016 .

[5]  Ahmed Khan Information Hiding in Text to Improve Performance for Word Document , 2015 .

[6]  Mohd Yamani Idna Idris,et al.  Approaches for preserving content integrity of sensitive online Arabic content: A survey and research challenges , 2019, Inf. Process. Manag..

[7]  Xiaohui Hu,et al.  Sentiment analysis of Chinese online reviews using ensemble learning framework , 2018, Cluster Computing.

[8]  Yasser M. Alginahi,et al.  An adaptive zero-watermarking approach for authentication and protection of sensitive text documents , 2013 .

[9]  Jinqiao Shi,et al.  A Multiple Watermarking Algorithm for Texts Mixed Chinese and English , 2013, ITQM.

[10]  Amit Kumar Singh,et al.  Robust and Imperceptible Spread-Spectrum Watermarking for Telemedicine Applications , 2015 .

[11]  Monika Agarwal Text Steganographic Approaches: A Comparison , 2013, ArXiv.

[12]  Danilo Montesi,et al.  Text Authorship Verification through Watermarking , 2016, 2016 European Intelligence and Security Informatics Conference (EISIC).

[13]  Sung Wook Baik,et al.  A novel magic LSB substitution method (M-LSB-SM) using multi-level encryption and achromatic component of an image , 2015, Multimedia Tools and Applications.

[14]  Farida Ridzuan,et al.  Text Steganography using Extensions Kashida based on the Moon and Sun Letters Concept , 2017 .

[15]  Hassan Badir,et al.  Data Alteration: A Better Approach to Securing Cloud Data with Encryption , 2017, EDA.

[16]  Esam Khan,et al.  Using Arabic Poetry System for Steganography , 2014 .

[17]  Shefalika Ghosh Samaddar,et al.  Digital Forensic Enabled Image Authentication Using Least Significant Bit (LSB) with Tamper Localization Based Hash Function , 2018 .

[18]  Seth Lloyd,et al.  Quantum Information Processing , 2009, Encyclopedia of Complexity and Systems Science.

[19]  Jayantrao Bhaurao Patil,et al.  Performance Analysis of a Novel Text Watermarking Technique for Devanagari Text , 2017 .

[20]  Wan Azizun Wan Adnan,et al.  Robust Digital Text Watermarking Algorithm based on Unicode Extended Characters , 2016 .

[21]  Lip Yee Por,et al.  A Review of Text Watermarking: Theory, Methods, and Applications , 2018, IEEE Access.

[22]  Milad Talebi Ahvanooei,et al.  A NOVEL APPROACH FOR TEXT WATERMARKING IN DIGITAL DOCUMENTS BY ZERO-WIDTH INTERWORD DISTANCE CHANGES , 2015 .

[23]  Edward J. Delp,et al.  Natural language watermarking , 2005, IS&T/SPIE Electronic Imaging.

[24]  Chalee Vorakulpipat,et al.  Digital Speech Watermarking Based on Linear Predictive Analysis and Singular Value Decomposition , 2017 .

[25]  Sabrina Tiun,et al.  Word Sense Disambiguation on English Translation of Holy Quran , 2015 .

[26]  Sumit Tiwari,et al.  A REVIEW STUDY ON DIGITAL WATERMARKING TECHNIQUES , 2016 .

[27]  Sarabjeet Singh Bedi,et al.  Video Watermarking Scheme Based on Candidates I-frames for Copyright Protection , 2017 .

[28]  Muhammad Khurram Khan,et al.  Digital Quran Computing: Review, Classification, and Trend Analysis , 2017 .

[29]  S. Jothimani,et al.  Image authentication using global and local features , 2014, 2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE).

[30]  Mohd Shafry Mohd Rahim,et al.  A review and open issues of multifarious image steganography techniques in spatial domain , 2018 .

[31]  Khaled Shaalan,et al.  A Survey of Arabic Text Mining , 2018 .

[32]  Danilo Montesi,et al.  Content-preserving Text Watermarking through Unicode Homoglyph Substitution , 2016, IDEAS.

[33]  Lamiaa A. Elrefaei,et al.  Improved capacity Arabic text watermarking methods based on open word space , 2017, J. King Saud Univ. Comput. Inf. Sci..

[34]  Adnan Gutub,et al.  Capacity Improved Arabic Text Steganography Technique Utilizing ‘ Kashida ’ with Whitespaces Safia , 2016 .

[35]  Yasser M. Alginahi,et al.  A review of recent advances on multimedia watermarking security and design implications for digital Quran computing , 2014, 2014 International Symposium on Biometrics and Security Technologies (ISBAST).

[36]  Yuling Liu,et al.  A zero-watermarking algorithm based on merging features of sentences for Chinese text , 2015 .

[37]  Bee Ee Khoo,et al.  A new robust and secure digital image watermarking scheme based on the integer wavelet transform and singular value decomposition , 2014, Digit. Signal Process..

[38]  Nighat Mir,et al.  Copyright for web content using invisible text watermarking , 2014, Comput. Hum. Behav..

[39]  Mohd Shafry Mohd Rahim,et al.  Image steganography based on odd/even pixels distribution scheme and two parameters random function , 2017 .

[40]  Lamiaa A. Elrefaei,et al.  Arabic Text Watermarking: A Review , 2015, ArXiv.

[41]  Chalee Vorakulpipat,et al.  Security Enhancement of Digital Watermarking , 2017 .

[42]  Samruddhi S. Raut,et al.  A Review Paper on Digital Watermarking Techniques , 2017 .

[43]  Martin Steinebach,et al.  Towards Imperceptible Natural Language Watermarking for German , 2017, IH&MMSec.

[44]  Nitin Patil Implementation of a Novel Watermarking Technique for Devanagari Text , 2015 .

[45]  Chen-Chung Liu,et al.  New Digital Text Watermarking Algorithm Based on New-Defined Characters , 2014, 2014 International Symposium on Computer, Consumer and Control.

[46]  Amirrudin Kamsin,et al.  Associated diacritical watermarking approach to protect sensitive arabic digital texts , 2017 .

[47]  Adnan Abdul-Aziz Gutub,et al.  Merging Two Steganography Techniques Adjusted to Improve Arabic Text Data Security , 2016 .

[48]  Danilo Montesi,et al.  Text Watermarking in Social Media , 2017, ASONAM.

[49]  Yasser M. Alginahi,et al.  A Zero-Watermarking Verification Approach for Quranic Verses in Online Text Documents , 2013, 2013 Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences.

[50]  Milan Sonka,et al.  Image Processing, Analysis and Machine Vision , 1993, Springer US.

[51]  Harsh K. Verma,et al.  A high capacity text steganography scheme based on LZW compression and color coding , 2017 .

[52]  Ashok Kumar Yadav,et al.  An Additive Watermarking Technique in Gray Scale Images Using Discrete Wavelet Transformation and Its Analysis on Watermark Strength , 2016 .

[53]  R. Mahmud,et al.  Issues of coherence analysis on English translations of Quran , 2013, 2013 1st International Conference on Communications, Signal Processing, and their Applications (ICCSPA).

[54]  R AviKumar,et al.  Enhanced LSB Algorithm For Stegano Communication , 2017 .

[55]  Muhammad Nomani Kabir,et al.  An enhanced Kashida-based watermarking approach for increased protection in Arabic text-documents based on frequency recurrence of characters , 2014 .

[56]  Muhammad Khurram Khan,et al.  Two-Layer Fragile Watermarking Method Secured with Chaotic Map for Authentication of Digital Holy Quran , 2014, TheScientificWorldJournal.

[57]  Jasni Mohamad Zain,et al.  Localization Watermarking for Authentication of Text Images in Quran with Spiral Manner Numbering , 2013, 2013 Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences.

[58]  Rajiv Vasudev,et al.  A Review on Digital Image Watermarking and Its Techniques , 2016 .

[59]  Yuexin Zhang,et al.  A text zero-watermarking algorithm based on Chinese phonetic alphabets , 2016, Wuhan University Journal of Natural Sciences.

[60]  Lamiaa A. Elrefaei,et al.  Utilizing Word Space with Pointed and Un-pointed Letters for Arabic Text Watermarking , 2016, 2016 UKSim-AMSS 18th International Conference on Computer Modelling and Simulation (UKSim).

[61]  Martin F. H. Schuurmans,et al.  Digital watermarking , 2002, Proceedings of ASP-DAC/VLSI Design 2002. 7th Asia and South Pacific Design Automation Conference and 15h International Conference on VLSI Design.

[62]  M. Mittal,et al.  Word Sense Disambiguation Approaches for Indian Languages : A Survey , 2016 .

[63]  Ambar Dutta,et al.  A novel spatial domain technique for digital image watermarking using block entropy , 2016, 2016 International Conference on Recent Trends in Information Technology (ICRTIT).