A zero-watermarking algorithm based on merging features of sentences for Chinese text

Liu, Yuling; Zhu, Yinghong; Xin, Guojiang

doi:10.1080/02533839.2014.981210

Cited by 30 publications

(13 citation statements)

References 7 publications

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“…ese attacks include content and format-based attacks. Figure 8 presents the comparison of the proposed method with [59,65,72,83] against content and formatbased attacks, which illustrate that the proposed model is robust against all possible mentioned attacks.…”

Section: Proposed Modelmentioning

confidence: 99%

Text Data Security and Privacy in the Internet of Things: Threats, Challenges, and Future Directions

Khadam

Iqbal

Alruily

et al. 2020

Wireless Communications and Mobile Computing

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In our daily life, Internet-of-Things (IoT) is everywhere and used in many more beneficial functionalities. It is used in our homes, hospitals, fire prevention, and reporting and controlling the environmental changes. Data security is the crucial requirement for IoT since the number of recent technologies in different domains is increasing day by day. Various attempts have been made to cater the user’s demands for more security and privacy. However, a huge risk of security and privacy issues can arise among all those benefits. Digital document security and copyright protection are also important issues in IoT because they are distributed, reproduced, and disclosed with extensive use of communication technologies. The content of books, research papers, newspapers, legal documents, and web pages are based on plain text, and the ownership verification and authentication of such documents are essential. In the current domain of the Internet of Things, limited techniques are available for ownership verification and copyright protection. In the said perspective, this study includes the discussion about the approaches of text watermarking, IoT security challenges, IoT device limitations, and future research directions in the area of text watermarking.

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Section: Proposed Modelmentioning

confidence: 99%

Text Data Security and Privacy in the Internet of Things: Threats, Challenges, and Future Directions

Khadam

Iqbal

Alruily

et al. 2020

Wireless Communications and Mobile Computing

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show abstract

“…The drawback of this approach has that when Optical Character Recognition (OCR) is applied, the spaces between the characters and words and the writing style are removed, which also ruin the watermark information. Aman et al [23] proposes an open space format-based method that embeds the secret message in a Microsoft Word document. The white spaces are targeted to embed the watermark in a document.…”

Section: Structural-based Approachmentioning

confidence: 99%

An Intelligent Three-Level Digital Watermarking Method for Document Protection

Khadim

Iqbal

Azam

2021

Mehran Univ. res. j. eng. technol.

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Digital text is the most frequent interchange form of data that could hold sensitive information such as audit firms, banks, and educational institutes. This sensitive information needs to preserve its integrity and originality so that it could not only secure the data but also helps to identify ownership of text documents. This paper presents a novel and invisible digital watermarking approach for the secure exchange of text documents over the internet. Digital watermarking serves from the last decade for detection of forgery and tempering from digital text documents and maintained the copyright and authentication successfully. Many states of the art watermark techniques achieve high imperceptibility, robustness, and high hidden capacity; unfortunately failed to maintain the balance among these three conflicting parameters. As resolvent, we propose an intelligent Three-Level Digital Watermarking (3LDW) system for text documents copyright protection. 3LDW system can be applied to Microsoft Word objects, document open spaces, and text feature coding without affecting the content of the original document. Experimental results reveal that our proposed 3LDW system strongly resist against formatting attacks and efficiently preserves the imperceptibility. Additionally, embedding capacity analysis demonstrates a prominent improvement of the proposed system as compared to other similar approaches.

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“…This approach relies on ex-ploit transitions of words in text document. Text based watermarking approaches [23], [24] have been proposed for Chinese text document authentication based on merging properties of sentences. Mechanism of these approaches is as follows: firstly, a Chinese text is divided into sets of sentences, and then a semantic code is obtained for each word.…”

Section: Structural-based Techniquesmentioning

confidence: 99%

Proposing High-Smart Approach for Content Authentication and Tampering Detection of Arabic Text Transmitted via Internet

Al‐Wesabi

2020

IEICE Trans. Inf. & Syst.

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The security and reliability of Arabic text exchanged via the Internet have become a challenging area for the research community. Arabic text is very sensitive to modify by malicious attacks and easy to make changes on diacritics i.e. Fat-ha, Kasra and Damma, which are represent the syntax of Arabic language and can make the meaning is differing. In this paper, a Hybrid of Natural Language Processing and Zero-Watermarking Approach (HNLPZWA) has been proposed for the content authentication and tampering detection of Arabic text. The HNLPZWA approach embeds and detects the watermark logically without altering the original text document to embed a watermark key. Fifth level order of word mechanism based on hidden Markov model is integrated with digital zero-watermarking techniques to improve the tampering detection accuracy issues of the previous literature proposed by the researchers. Fifth-level order of Markov model is used as a natural language processing technique in order to analyze the Arabic text. Moreover, it extracts the features of interrelationship between contexts of the text and utilizes the extracted features as watermark information and validates it later with attacked Arabic text to detect any tampering occurred on it. HNLPZWA has been implemented using PHP with VS code IDE. Tampering detection accuracy of HNLPZWA is proved with experiments using four datasets of varying lengths under multiple random locations of insertion, reorder and deletion attacks of experimental datasets. The experimental results show that HNLPZWA is more sensitive for all kinds of tampering attacks with high level accuracy of tampering detection.

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A zero-watermarking algorithm based on merging features of sentences for Chinese text

Cited by 30 publications

References 7 publications

Text Data Security and Privacy in the Internet of Things: Threats, Challenges, and Future Directions

Text Data Security and Privacy in the Internet of Things: Threats, Challenges, and Future Directions

An Intelligent Three-Level Digital Watermarking Method for Document Protection

Proposing High-Smart Approach for Content Authentication and Tampering Detection of Arabic Text Transmitted via Internet

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