Utilizing pseudo-spaces to improve Arabic text steganography for multimedia data communications

2021

Arab J Sci Eng

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The term IoT technology is associated with many fields, including scientific, commercial, industrial, health, transportation and other fields, which became a necessity of daily life across all segments of society. Artificial intelligence, the Internet of things, data science and big data are among the most prominent fields of technologies in the modern era of e-knowledge, which are increasingly being relied on in many areas of our life. This research is considered very special and urgent affecting around 20% of the humanities, i.e., Muslim people, whom try to be selected to perform Islamic rituals every year. Given this importance of applying and adapting technologies to serve Hajj and Umrah performers, it is necessary to conduct an analytical study for the technologies and their applications that have been applied in the Hajj and Umrah system. The surveyed studies have been classified, according to their targeted services (focus area), into four main branches, including studies of the two holy mosques and the holy sites, studies of the pre-arrival visitors, housing and services studies, and transportation and crowd management studies. The classified studies were analyzed according to research field, research instrument, statistical method, nature of statistical data, data collection tools, and research citations. The paper outcome opens novel research practical directions selected based on holistic overview of the current technologies analytical survey, which is essential to be considered to improve Hajj and Umrah services coping with today’s technology, in addition to discussing other open issues that need further deep research.

Section: Open Challenges and Sophisticated-related Issuesmentioning

confidence: 99%

Progress of IoT Research Technologies and Applications Serving Hajj and Umrah

Shambour

2021

Arab J Sci Eng

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“…to take advantage of adding, editing or changing letters or diacritics and make use of its Arabic linguistic rules [8]. Arabic words are proven to be robust and difficult to discover via steganography [16]. Furthermore, Arabic is a language spoken by 420 million people and is the religious language of Islam [17], known as the sixth most spoken language worldwide.…”

Section: B Arabic Text Steganographymentioning

confidence: 99%

Integrating Light-Weight Cryptography with Diacritics Arabic Text Steganography Improved for Practical Security Applications

Alkhudaydi

2020

JISCR

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Cryptography and steganography are combined to provide practical data security. This paper proposes integrating light-weight cryptography with improved Arabic text steganography for optimizing security applications. It uses light-weight cryptography to cope with current limited device capabilities, to provide acceptable required security. The work tests hiding encrypted secret information within Arabic stego-cover texts, using all common diacritics found naturally in the Arabic language. The study considers different challenging situations and scenarios in order to evaluate security practicality. It further carries out simulations on some short texts from the Holy Quran, taking them as standard authentic texts, that are fixed and trusted, therefore providing realistic study feedback that is worth monitoring. Our improved approach features preferred capacity and security, surpassing the best previous diacritics stego approach, showing interesting potential results for attractive enlightening exploration to come.

“…The aim of this paper is to propose an IRDH scheme that enhances the performance of Lee and Huang's scheme [23] and Malik et al's scheme [29] in terms of the visual quality of the stego-image and the embedding capacity, similar in principle to the stego hiding within text [7] as well as in audio [6] but without any loss in data from the original stego-cover. The work elaborates novelty of embedding secrecy within images via improving interpolation-based reversible data hiding scheme, from different innovative research point of view, testing the proposal among five other state-of-the-art researches showing remarkable study results.…”

Section: Introductionmentioning

confidence: 99%

Efficient reversible data hiding multimedia technique based on smart image interpolation

Hassan

2020

Multimed Tools Appl

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Reversible data hiding (RDH) within images is the process of securing data into cover images without degradation. Its challenge is to hide a large payload while taking into account the human visual system so that the distortion of the stego-image is negligible. It is highly desired for the images that have special requirements like the ones in the medical and military fields where the original images are required to be regenerated with no loss after extracting the data. In this paper, we propose an interpolation-based RDH (IRDH) scheme that improves Lee and Huang's scheme and Malik et al.'s scheme by combining their embedding techniques along with the optimal pixel adjustment process (OPAP) in a way that increases the embedding capacity and the visual quality of both the schemes. In this presented scheme, we start by stretching the size of the original image using the existing enhanced neighbor mean interpolation (ENMI) interpolation technique then the data is embedded into the interpolated pixels using our novel embedding method that depends on the intensity of the pixels and the maximized difference values. This innovative scheme presented all steps covering generation of the interpolated image, data embedding, data extraction and image recovery, making it in testing situation to be compared fairly with others. The experimental results demonstrate that the achieved embedding capacity by our hiding technique is more than 537 Kb for all the test images. Also, the experiments show that our proposed scheme has the highest embedding capacity among five current schemes which are Jung and Yoo's scheme, Lee and Huang's scheme, Chang et al.'s scheme, Zhang et al.'s scheme and Malik et al.'s scheme with attractive image security quality.