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The security of cloud databases may be a basic concern for organizations as they store and manage expansive volumes of delicate information within the cloud. Cryptosystems played an essential part in securing information privacy and integrity in these situations. This paper gives an in-depth investigation of the utilization of cryptosystems for cloud database security. The paper starts by talking about the foundation and importance of cloud database security, highlighting the expanding requirement for strong information security measures. A comprehensive study reviewed and investigated the current state of research in this space, distinguishing key progressions and challenges. The paper at that point digs into the execution of cryptosystems in cloud databases, looking at their execution and trade-offs. Besides, rising patterns and advances for improving cloud database security, such as multi-factor confirmation, homomorphic encryption, and blockchain, are discussed. The paper moreover recognizes different inquiries about openings and future headings within the field, counting various encryption methods, execution optimization, key administration, convenience enhancements, compliance contemplations, and integration with rising advances. Furthermore, we proposed encryption software for file protection, the software designed based on symmetric and asymmetric cryptosystems. The proposed software can be adapted for file protection in cloud database security. In conclusion, the paper emphasizes the significance of cryptosystems for cloud database security and underscores the requirement for continuous inquiry about and collaboration to address challenges and drive development in this zone. [ABSTRACT FROM AUTHOR]

This paper presents the analysis and design of a prototype system aimed at making coding engaging for individuals of all ages, from primary school students to seasoned learners familiar with the basics of programming. The primary objective is to enhance the accessibility and appeal of coding education across different age groups. The study begins by providing an overview of the Bunny Code project, outlining its scope and objectives. It describes the methodology employed, including the system architecture design, use case diagram, use case narratives, activity diagram, sequence diagram, and the prototype design. The comprehensive analysis and design process are detailed to provide insights into the development of an interactive coding learning platform. In addition to the technical aspects, this paper discusses the results of an online survey conducted to gather perspectives from the target user demographic. By incorporating user feedback into the design process, the study aims to ensure that the prototype system meets the needs and expectations of its intended audience. Ultimately, this research contributes to the field of educational technology by proposing innovative approaches to make coding accessible and engaging for learners of varying age groups. The findings and methodologies outlined in this paper serve as a foundation for the development of interactive and inclusive coding education tools, such as the Bunny Code platform. [ABSTRACT FROM AUTHOR]

There are numerous applications for social media platforms such as Twitter, Facebook, and YouTube, amongst many more. These applications can be helpful in many facets of our lives. These platforms have just recently become an efficient way of communicating medical information. Additionally, the number of people using social media platforms is growing at a rapid rate, and the use of social networking websites is a significant component of our day-to-day activities. However, it is possible for it to be associated with a variety of difficulties, such as the inappropriate use of social networking sites in healthcare, which can have dire effects. These difficulties can range from seemingly basic issues, such as harming the reputation of both patients and doctors, to more significant problems. It is essential to keep up appearances of professionalism while also protecting the privacy and confidentiality of information. The purpose of this paper is to address the application of Islamic principles and fundamental values to social networking sites as guides for long-term solutions based on the Qur'an and Sunnah, with the end goal of making these sites more helpful and useful for mankind. [ABSTRACT FROM AUTHOR]

The prime purpose for the image reconstruction of a multi-frame superresolution is to reconstruct a higher-resolution image through incorporating the knowledge obtained from a series of relevant low-resolution images, which is useful in numerous fields. Nevertheless, super-resolution image reconstruction methods are usually damaged by undesirable restorative artifacts, which include blurring distortion, noises, and stair-casing effects. Consequently, it is always challenging to achieve balancing between image smoothness and preservation of the edges inside the image. In this research work, we seek to increase the effectiveness of multi-frame super-resolution image reconstruction by increasing the visual information and improving the automated machine perception, which improves human analysis and interpretation processes. Accordingly, we propose a new approach to the image reconstruction of multi-frame super-resolution, so that it is created through the use of the regularization framework. In the proposed approach, the bilateral edge preserving and bilateral total variation regularizations are employed to approximate a high-resolution image generated from a sequence of corresponding images with low-resolution to protect significant features of an image, including sharp image edges and texture details while preventing artifacts. The experimental results of the synthesized image demonstrate that the new proposed approach has improved efficacy both visually and numerically more than other approaches. [ABSTRACT FROM AUTHOR]

Millions of Muslims around the world welcome initiatives that improve how people read, recite, comprehend, and, memorize the wonderful lessons contained in the Holy Qur'an. The majority of the Holy Quran learners suffer from lack of quality in memorization understanding and connecting its topics. Therefore, the aim of this paper is to develop an algorithm that automatically generate the topics based on the mind map of a set of verses in the Holy Quran. By using this approach, we found the topics of all sets of verses based on the Topical Mushaf and Al-Duwayish mind map of Surat Al-Baqarah. [ABSTRACT FROM AUTHOR]