Modern Text Hiding, Text Steganalysis, and Applications: A Comparative Analysis

Ahvanooey, Milad Taleby; Li, Qianmu; Hou, Jun; Rajput, Ahmed Raza; Chen, Yini

doi:10.3390/e21040355

Cited by 50 publications

(74 citation statements)

References 99 publications

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“…When programmers build a text hiding algorithm there are many things to remember. In recently implemented algorithms, however, the fundamental requirements can be easily found: invisibility, embedding power, robustness, and security [22]. For an active or passive warden, respectively, the contact medium through which the stego-image is being transmitted can be noisy or noiseless.…”

Section: B Arabic Text Hiding Criteriamentioning

confidence: 99%

Computational Analysis of Arabic Cursive Steganography using Complex Edge Detection Techniques

Ibrahim¹,

Abdulrahman²

2020

IJACSA

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Arabic language contains a multiple set of features which complete the process of embedding and extracting text from the compressed image. In specific, the Arabic language covers numerous textual styles and shapes of the Arabic letter. This paper investigated Arabic cursive steganography using complex edge detection techniques via compressed image, which comprises several characteristics (short, medium and Long sentence) as per the research interest. Sample of images from the Berkeley Segmentation Database (BSD) was utilized and compressed with a diverse number of bits per pixel through Least Significant Bit (LSB) technology. The method presented in this paper was evaluated based on five complex edge detectors (Roberts, Prewitt, Sobel, LoG, and Canny) via MATLAB. Canny edge detector has been demonstrated to be the most excellent solution when it is vital to perform superior edge discovery overcompressed image with little several facts, but Sobel appears to be better in term of the execution time for Long sentence contents.

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Section: B Arabic Text Hiding Criteriamentioning

confidence: 99%

Computational Analysis of Arabic Cursive Steganography using Complex Edge Detection Techniques

Ibrahim¹,

Abdulrahman²

2020

IJACSA

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“…In this categorization, the zero-watermarking approaches are often not considered as no watermark is actually applied; however, this alternative solution is getting more attention lately and it is important to understand the difference between the zero-watermarking and contentpreserving methods. A recent survey [18] considers instead the structural, linguistic, and statistics as the three main categories. After highlighting the core ideas, advantages, and disadvantages of the mentioned approaches, we will focus on the structural methods.…”

Section: Related Workmentioning

confidence: 99%

Fine-grain watermarking for intellectual property protection

Rizzo

Bertini

Montesi

2019

EURASIP J. on Info. Security

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The current online digital world, consisting of thousands of newspapers, blogs, social media, and cloud file sharing services, is providing easy and unlimited access to a large treasure of text contents. Making copies of these text contents is simple and virtually costless. As a result, producers and owners of text content are interested in the protection of their intellectual property (IP) rights. Digital watermarking has become crucially important in the protection of digital contents. Out of all, text watermarking poses many challenges, since text is characterized by a low capacity to embed a watermark and allows only a restricted number of alternative syntactic and semantic permutations. This becomes even harder when authors want to protect not just a whole book or article, but each single sentence or paragraph, a problem well known to copyright law. In this paper, we present a fine-grain text watermarking method that protects even small portions of the digital content. The core method is based on homoglyph characters substitution for latin symbols and whitespaces. It allows to produce a watermarked version of the original text, preserving the anonymity of the users according to the right to privacy. In particular, the embedding and extraction algorithms allow to continuously protect the watermark through the whole document in a fine-grain fashion. It ensures visual indistinguishability and length preservation, meaning that it does not cause overhead to the original document, and it is robust to the copy and past of small excerpts of the text. We use a real dataset of 1.8 million New York articles to evaluate our method. We evaluate and compare the robustness against common attacks, and we propose a new measure for partial copy and paste robustness. The results show the effectiveness of our approach providing an average length of 101 characters needed to embed the watermark and allowing to protect paragraph-long excerpt or smaller the 94.5% of the times.

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“…In general, the PHR interoperability involves new requirements and challenges concerning technology, incentives, security and privacy, and governance which should be solved for data sharing issues. Technically, the use of blockchain technology in healthcare management system can provide five mechanisms including: (i) patient identity, (ii) data aggregation, (iii) data liquidity, (iv) digital access rules, and (v) data immutability, which might address such challenges [1][2][3]2]. However, several management systems exist for healthcare, which controls PHR, incredibly delicate data such as PHR entities [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

A Blockchain-Based Secret-Data Sharing Framework for Personal Health Records in Emergency Condition

Rajput

Ahvanooey

2021

Healthcare

Self Cite

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Blockchain technology is the most trusted all-in-one cryptosystem that provides a framework for securing transactions over networks due to its irreversibility and immutability characteristics. Blockchain network, as a decentralized infrastructure, has drawn the attention of various startups, administrators, and developers. This system preserves transactions from tampering and provides a tracking tool for tracing past network operations. A personal health record (PHR) system permits patients to control and share data concerning their health conditions by particular peoples. In the case of an emergency, the patient is unable to approve the emergency staff access to the PHR. Furthermore, a history record management system of the patient’s PHR is required, which exhibits hugely private personal data (e.g., modification date, name of user, last health condition, etc.). In this paper, we suggest a healthcare management framework that employs blockchain technology to provide a tamper protection application by considering safe policies. These policies involve identifying extensible access control, auditing, and tamper resistance in an emergency scenario. Our experiments demonstrated that the proposed framework affords superior performance compared to the state-of-the-art healthcare systems concerning accessibility, privacy, emergency access control, and data auditing.

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Modern Text Hiding, Text Steganalysis, and Applications: A Comparative Analysis

Cited by 50 publications

References 99 publications

Computational Analysis of Arabic Cursive Steganography using Complex Edge Detection Techniques

Computational Analysis of Arabic Cursive Steganography using Complex Edge Detection Techniques

Fine-grain watermarking for intellectual property protection

A Blockchain-Based Secret-Data Sharing Framework for Personal Health Records in Emergency Condition

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