Abstract
Due to the rapid increase in the exchange of text information via internet networks, the security and authenticity of digital content have become a major research issue. The main challenges faced by researchers are how to hide the information within the text to use it later for authentication and attacks tampering detection without effects on the meaning and size of the given digital text. In this paper, an efficient text-based watermarking method has been proposed for detecting the illegal tampering attacks on the Arabic text transmitted online via an Internet network. Towards this purpose, the accuracy of tampering detection and watermark robustness has been improved of the proposed method as compared with the existing approaches. In the proposed method, both embedding and extracting of the watermark are logically implemented, which causes no change in the digital text. This is achieved by using the third level and alphanumeric strategy of the Markov model as a text analysis technique for analyzing the Arabic contents to obtain its features which are considered as the digital watermark. This digital watermark will be used later to detecting any tampering of illegal attack on the received Arabic text. An extensive set of experiments using four data sets of varying lengths proves the effectiveness of our approach in terms of detection accuracy, robustness, and effectiveness under multiple random locations of the common tampering attacks.
Highlights
We suggest an intelligent hybrid approach named “an efficient text-watermarking method based on the third level and alphanumeric strategy of Markov model (ETWMM)” for Arabic text authentication and tampering detection
The third level of alphanumeric strategy has been selected in our proposed ETWMM method to improve the accuracy of random detection of tampering attacks and reduced the gap of interrelationships between the given numbers, special symbols and Arabic alphabets as compared with other levels
HNLPZWA and ZWAFWMMM give the best detection accuracy and robustness rate in case of insertion attack. This means that ETWMM approach is strongly recommended and applicable for content authentication and tampering detection of Arabic text transmitted via the internet especially under deletion and reorder attacks
Summary
Extensive research work to develop algorithms and techniques for accomplishing information security such as content authentication, integrity verification, tampering detection, owner identification, access control, and copyright protection are in progress. Many algorithms and techniques are available such as the authentication of content, verification of integrity, detection of tampering, identification of owners, access control, and copyright protection. To overcome these issues, steganography and automated methods of watermarking are commonly used [3]. We suggest an intelligent hybrid approach named “an efficient text-watermarking method based on the third level and alphanumeric strategy of Markov model (ETWMM)” for Arabic text authentication and tampering detection Towards this purpose, text-watermarking and Markov model techniques have been integrated.
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