Securing Arabic Contents Algorithm for Smart Detecting of Illegal Tampering Attacks

The most common digital media exchanged via the Internet is in text form. Arabic language considered one of sensitive languages content modification due to presence diacritics that can cause a change meaning. In this paper, an intelligent scheme proposed for improving reliability and security Internet. core mechanism depends on integrating hidden Markov model zero watermarking techniques. watermark key will be generated by utilizing extracted features analysis process using third order word level model. Embedding detection processes performed logically without effect original text. implemented PHP with VS code IDE. simulation results, varying sizes standard datasets, show obtain high provide better accuracy illegal tampering attacks. Comparison results other baseline techniques added value scheme.