Fahd N. Al-Wesabi1,2,*
CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 195-211, 2021, DOI:10.32604/cmc.2020.012088
Abstract In this paper, a hybrid intelligent text zero-watermarking approach has
been proposed by integrating text zero-watermarking and hidden Markov model as
natural language processing techniques for the content authentication and tampering
detection of Arabic text contents. The proposed approach known as Second order of
Alphanumeric Mechanism of Markov model and Zero-Watermarking Approach
(SAMMZWA). Second level order of alphanumeric mechanism based on hidden
Markov model is integrated with text zero-watermarking techniques to improve
the overall performance and tampering detection accuracy of the proposed approach.
The SAMMZWA approach embeds and detects the watermark logically without
altering the original text document. The extracted… More >
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