Varying PRNG to improve image cryptography implementation

Gutub, Adnan; Al-Roithy, Budoor Obid

doi:10.36909/jer.v9i3a.10111

Cited by 21 publications

(3 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Future work can be pursued to examine the feasibility of increasing the length of secret keys. A random generation number can be included to generate the shares that may show a different level of privacy and trustfulness, similar to PRNG variations of [41]. Furthermore, in our work, we used merely two image steganography algorithms which are LSB and DWT.…”

Section: Discussionmentioning

confidence: 99%

Increasing Participants Using Counting-Based Secret Sharing via Involving Matrices and Practical Steganography

Al-Shaarani

Gutub

2021

Arab J Sci Eng

Self Cite

View full text Add to dashboard Cite

Secret sharing is an approach for accessing sensitive information by several authorized participants. It shares the secret key in different forms among several authorized participants, where a certain number of which is required to retrieve the original secret. This secret sharing raised a new practicality challenge of human secrecy memorization as well as limited number of users allowed, which have been addressed within this work. This paper examines two particular secret sharing techniques known as the counting-based secret sharing and the matrix-based secret sharing, which enhances the former to accommodate a high number of participants. This work aimed to serve participants accommodating the share's memorization challenge via image steganography as well as testing both schemes in the cases of original 1-bit and 2-bit methods. We compared practicality applying the secret sharing methods combined with two image steganography methods: the least significant bit and the discrete wavelet transform. Our findings included interesting remarks regarding both security and robustness. Our results demonstrated that despite the large number of shares generated, as to serve more participants using the matrix-based scheme, its performance was highly satisfactory. Our experiments illustrated high imperceptibility levels for the matrix-based scheme, which in turn provides higher security and robustness compared to the original method, which provided very few shares serving a limited number of participants.

show abstract

Section: Discussionmentioning

confidence: 99%

Increasing Participants Using Counting-Based Secret Sharing via Involving Matrices and Practical Steganography

Al-Shaarani

Gutub

2021

Arab J Sci Eng

Self Cite

View full text Add to dashboard Cite

show abstract

“…This technique uses more specific userbased storage positions such as forms for inter-word, intersentence, end of the paragraph and end-of-line spaces in concealing the secret information. Another form of double spaces combination used for embedding the secret data as shown in Table 2 as related to [36]. The advantage of this technique is that the combination of spaces gives more embedding of secret data that implies increasing capacity than the previous one.…”

Section: Case 2: If the Letter Is Un-pointedmentioning

confidence: 99%

Novel Arabic e-Text Watermarking Supporting Partial Dishonesty Based on Counting-Based Secret Sharing

Almehmadi

Gutub

2021

Arab J Sci Eng

Self Cite

View full text Add to dashboard Cite

Nowadays, the proliferation done on information systems had led to an alarming increase in security breaches. This security trend is now viewed as an essential foundation in the success of the information systems platforms planning, development and administration stages. The ideal way to protect the integrity and ownership of information within the transmission are performed via watermarking. It generally embeds secret data in the intended e-text media for the user's integrity proof purposes afterwards. The challenge comes in full verification as if parts of this watermarking data are corrupted. This work presents Arabic e-text watermarking supporting partial dishonesty situations benefiting from counting-based secret sharing. In this paper, we are utilizing the extension Arabic character ""Kashida" to serve for hiding the watermarking data. The process of hiding watermarking bits is considering full security, which is not to hide the secrets directly as previous references. This work uses the password to ignite counting-based secret sharing to generate the stream shares of watermarking hidden bits to be embedded. The research tests our proposed Arabic e-text watermarking approach using four existing methods of data hiding. The comparisons have been run on the Arabic benchmark of Imam Nawawi's forty hadeeth as standard text statements (40 Prophet Hadiths) indicating interesting remarkable results and promising research contributions.

show abstract

“…Steganography has become one the most popular methods for information hiding because of its simplicity and easy communication through already existing technology and communication channels like IP cameras, smartphones, and social media apps like WeChat, WhatsApp, Telegram, Signal, etc. without any extra cost of additional infrastructures like private key sharing or private communication channels, etc. There have been various works which have not included deep learning in their work, however, have contributed in the field of watermarking and steganography (Hassaballah et al, 2020;Gutub and Al-Ghamdi, 2020;Gutub and Al-Roithy, 2021;Hassan and Gutub, 2021;Al-Roithy and Gutub, 2021;AlKhodaidi and Gutub, 2021;Hameed, Abdel-Aleem and Hassaballah, 2022;Gutub, 2022aGutub, , 2022b.…”

Section: Introductionmentioning

confidence: 99%

Latest Trends in Deep Learning Techniques for Image Steganography

Kumar

Sharma

Kumar

et al. 2023

International Journal of Digital Crime and Forensics

View full text Add to dashboard Cite

The development of deep convolutional neural networks has been largely responsible for the significant strides forward made in steganography over the past decade. In the field of image steganography, generative adversarial networks (GAN) are becoming increasingly popular. This study describes current development in image steganographic systems based on deep learning. The authors' goal is to lay out the various works that have been done in image steganography using deep learning techniques and provide some notes on the various methods. This study proposed a result that could open up some new avenues for future research in deep learning based on image steganographic methods. These new avenues could be explored in the future. Moreover, the pros and cons of current methods are laid out with several promising directions to define problems that researchers can work on in future research avenues.

show abstract

Varying PRNG to improve image cryptography implementation

Cited by 21 publications

References 21 publications

Increasing Participants Using Counting-Based Secret Sharing via Involving Matrices and Practical Steganography

Increasing Participants Using Counting-Based Secret Sharing via Involving Matrices and Practical Steganography

Novel Arabic e-Text Watermarking Supporting Partial Dishonesty Based on Counting-Based Secret Sharing

Latest Trends in Deep Learning Techniques for Image Steganography

Contact Info

Product

Resources

About