Identification of Tampering in Arabic Text Documents Using Zero-Watermarking Algorithm

The internet makes sharing information easy, but protecting copyrights and verifying the authentication of online text remains a challenge. Current methods for securing Arabic text are limited. This research introduces a new tool: a zero watermark algorithm designed specifically for Arabic text. This new algorithm protects Arabic text by analyzing its content. It creates a watermark based on a chosen keyword (at least 6 characters, no duplicates), and how often each character appears in different forms (separate, connected), and positions (beginning, middle, and end) within the text. The proposed method was tested on nine different Arabic text samples of varying size, simulating various tampering attempts like inserting, deleting, and rephrasing text. The results are impressive, showing that the algorithm outperforms existing methods in detecting even minor changes.

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Publication Details

Journal
Journal La Multiapp
Published
2024-10-08
DOI
https://doi.org/10.37899/journallamultiapp.v5i5.1490
Primary Topic
Advanced Steganography and Watermarking Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Identification of Tampering in Arabic Text Documents Using Zero-Watermarking Algorithm

Shahbaa Mohammed Abdulmaged, Nadia Mohammed Abdulmaged, Aumama Mohammed Farhan
Journal La Multiapp
Advanced Steganography and Watermarking Techniques
article

Identification of Tampering in Arabic Text Documents Using Zero-Watermarking Algorithm

Shahbaa Mohammed Abdulmaged, Nadia Mohammed Abdulmaged, Aumama Mohammed Farhan
article en

Abstract

The internet makes sharing information easy, but protecting copyrights and verifying the authentication of online text remains a challenge. Current methods for securing Arabic text are limited. This research introduces a new tool: a zero watermark algorithm designed specifically for Arabic text. This new algorithm protects Arabic text by analyzing its content. It creates a watermark based on a chosen keyword (at least 6 characters, no duplicates), and how often each character appears in different forms (separate, connected), and positions (beginning, middle, and end) within the text. The proposed method was tested on nine different Arabic text samples of varying size, simulating various tampering attempts like inserting, deleting, and rephrasing text. The results are impressive, showing that the algorithm outperforms existing methods in detecting even minor changes.

Journal La MultiappVol. 5(5)
Iraqi University (IQ)
Quality Education
Openalex Percentile: Top 83%
Advanced Steganography and Watermarking Techniques
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