A Reliable NLP Scheme for English Text Watermarking Based on Contents Interrelationship

Al‐Wesabi, Fahd N.; Alzahrani, Saleh; Al-Yarimi, Fuad Ali Mohammed; Abdul, Mohammed; Nemri, Nadhem; Almazah, Mohammed M. A.

doi:10.32604/csse.2021.015915

Cited by 11 publications

(7 citation statements)

References 21 publications

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“…An English text-based watermarking method is presented in [27] to improve the security issues of English text. Markov-based methods are proposed in [28,29] to validate the authenticity of the English text contents. These methods depend on utilizing the probability feature of the given text as a secret watermark key.…”

Section: Related Workmentioning

confidence: 99%

Securing Arabic Contents Algorithm for Smart Detecting of Illegal Tampering Attacks

Duhayyim¹,

Alohali²,

Al‐Wesabi³

et al. 2022

Computers, Materials &Amp; Continua

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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.

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Section: Related Workmentioning

confidence: 99%

Securing Arabic Contents Algorithm for Smart Detecting of Illegal Tampering Attacks

Duhayyim¹,

Alohali²,

Al‐Wesabi³

et al. 2022

Computers, Materials &Amp; Continua

Self Cite

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“…To prevent attacks, the marks should be robust enough to avoid the deliberate or accidental removal and should not introduce distracting impact on the original data [22,23]. On the other hand, in certain situations, the embedded watermark can only be identified and manipulated by the selected receiver [24]. For other goals, such as data authentication, data monitoring and tracking, watermarking techniques have also been used.…”

Section: Digital Watermarkingmentioning

confidence: 99%

Video Identification Based on Watermarking Schemes and Visual Cryptography

Wafy¹,

Zanaty²,

El-Khouly³

2022

Computer Systems Science and Engineering

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Related to the growth of data sharing on the Internet and the widespread use of digital media, multimedia security and copyright protection have become of broad interest. Visual cryptography (VC) is a method of sharing a secret image between a group of participants, where certain groups of participants are defined as qualified and may combine their share of the image to obtain the original, and certain other groups are defined as prohibited, and even if they combine knowledge of their parts, they can't obtain any information on the secret image. The visual cryptography is one of the techniques which used to transmit the secrete image under the cover picture. Human vision systems are connected to visual cryptography. The black and white image was originally used as a hidden image. In order to achieve the owner's copy right security based on visual cryptography, a watermarking algorithm is presented. We suggest an approach in this paper to hide multiple images in video by meaningful shares using one binary share. With a common share, which we refer to as a smart key, we can decrypt several images simultaneously. Depending on a given share, the smart key decrypts several hidden images. The smart key is printed on transparency and the shares are involved in video and decryption is performed by physically superimposing the transparency on the video. Using binary, grayscale, and color images, we test the proposed method.

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“…e general crawler often simply removes the web page tag, leaving the text part as the training corpus. e granularity of such text corpus is very coarse, and the effect after word segmentation and filtering is often difficult to meet the requirements [26]. e differential classification of these information can not only remove the noise influence of the corpus but also facilitate the extraction of text features.…”

Section: Overall Framework Design Of Text Tendency Analysismentioning

confidence: 99%

English Text Analysis System Based on Genetic Algorithm

Yao

2022

Mobile Information Systems

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In order to accurately extract the useful information in English, this paper studies English text analysis combined with a genetic algorithm and establishes a text analysis system. In this method, a text tendency analysis algorithm based on a genetic algorithm language model is proposed, and a Doc2vec text feature representation algorithm integrating the LDA model is designed; the parallelization technology of text analysis algorithm is studied, and the parallelization model of the algorithm by using spark big data platform is designed; the process of English text tendency analysis is studied, and a Chinese text analysis system is designed and implemented based on big data platform, including corpus intake, corpus annotation, corpus storage, model training, model verification, and other modules. In order to verify the feasibility of this subject, the accuracy of the Doc2vec text feature representation algorithm of the fused LDA model designed in the prototype system is tested. The experimental results show that the fused text representation model has high recognition degree, and the AUC value of the ROC curve reaches 0.95. At the same time, this paper tests the text analysis-related algorithms involved in the system. The test results show that the parallel algorithm can greatly improve the efficiency of the system.

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A Reliable NLP Scheme for English Text Watermarking Based on Contents Interrelationship

Cited by 11 publications

References 21 publications

Securing Arabic Contents Algorithm for Smart Detecting of Illegal Tampering Attacks

Securing Arabic Contents Algorithm for Smart Detecting of Illegal Tampering Attacks

Video Identification Based on Watermarking Schemes and Visual Cryptography

English Text Analysis System Based on Genetic Algorithm

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