Securing Arabic Contents Algorithm for Smart Detecting of Illegal Tampering Attacks
The most common digital media exchanged via the Internet is in text form. The Arabic language is considered one of the most sensitive languages of content modification due to the presence of diacritics that can cause a change in the meaning. In this paper, an intelligent scheme is proposed for impro...
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| Veröffentlicht in: | Computers, materials & continua materials & continua, 2022, Vol.70 (2), p.2879-2894 |
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| container_title | Computers, materials & continua |
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| creator | Al Duhayyim, Mesfer Abdullah Alohali, Manal N. Al-Wesabi, Fahd Mustafa Hilal, Anwer Medani, Mohammad Ahmed Hamza, Manar |
| description | The most common digital media exchanged via the Internet is in text form. The Arabic language is considered one of the most sensitive languages of content modification due to the presence of diacritics that can cause a change in the meaning. In this paper, an intelligent scheme is proposed for improving the reliability and security of the text exchanged via the Internet. The core mechanism of the proposed scheme depends on integrating the hidden Markov model and zero text watermarking techniques. The watermark key will be generated by utilizing the extracted features of the text analysis process using the third order and word level of the Markov model. The Embedding and detection processes of the proposed scheme will be performed logically without the effect of the original text. The proposed scheme is implemented using PHP with VS code IDE. The simulation results, using varying sizes of standard datasets, show that the proposed scheme can obtain high reliability and provide better accuracy of the common illegal tampering attacks. Comparison results with other baseline techniques show the added value of the proposed scheme. |
| doi_str_mv | 10.32604/cmc.2022.019594 |
| format | Article |
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Al-Wesabi, Fahd ; Mustafa Hilal, Anwer ; Medani, Mohammad ; Ahmed Hamza, Manar</creator><creatorcontrib>Al Duhayyim, Mesfer ; Abdullah Alohali, Manal ; N. Al-Wesabi, Fahd ; Mustafa Hilal, Anwer ; Medani, Mohammad ; Ahmed Hamza, Manar</creatorcontrib><description>The most common digital media exchanged via the Internet is in text form. The Arabic language is considered one of the most sensitive languages of content modification due to the presence of diacritics that can cause a change in the meaning. In this paper, an intelligent scheme is proposed for improving the reliability and security of the text exchanged via the Internet. The core mechanism of the proposed scheme depends on integrating the hidden Markov model and zero text watermarking techniques. The watermark key will be generated by utilizing the extracted features of the text analysis process using the third order and word level of the Markov model. The Embedding and detection processes of the proposed scheme will be performed logically without the effect of the original text. The proposed scheme is implemented using PHP with VS code IDE. The simulation results, using varying sizes of standard datasets, show that the proposed scheme can obtain high reliability and provide better accuracy of the common illegal tampering attacks. 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The watermark key will be generated by utilizing the extracted features of the text analysis process using the third order and word level of the Markov model. The Embedding and detection processes of the proposed scheme will be performed logically without the effect of the original text. The proposed scheme is implemented using PHP with VS code IDE. The simulation results, using varying sizes of standard datasets, show that the proposed scheme can obtain high reliability and provide better accuracy of the common illegal tampering attacks. 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| subjects | Algorithms Arabic language Authenticity Digital broadcasting Digital media Feature extraction Internet Markov chains Methods Natural language Performance evaluation Reliability Semantics Text analysis Watermarking |
| title | Securing Arabic Contents Algorithm for Smart Detecting of Illegal Tampering Attacks |
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