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    ItemOpen Access
    Blockchain based configuration files backup system
    (Faculty of Engineering and Natural Science, 2024) Shakhnazar S.M.
    In today’s digital age, the need for robust data security and backup systems has become increasingly critical, especially in the face of rising cyber threats such as ransomware attacks. Traditional backup systems have shown vulnerabilities in safeguarding crucial data, prompting a search for innovative solutions to enhance data integrity and protection. This research presents a groundbreaking approach to address the challenges in data security and backup systems by leveraging blockchain technology. Blockchain technology, renowned for its decentralized and immutable nature, offers a secure and transparent platform for storing and safeguarding data. By harnessing the programmable and decentralized features of blockchain, this thesis proposes a novel blockchain-based configuration files backup system. The system aims to ensure the confidentiality and integrity of data backups in network environments, paving the way for enhanced network security measures. The research questions aim to explore how blockchain technology can be utilized to enhance the security of configuration files backup systems, the advantages of implementing a blockchain-based backup system over traditional methods, the impact of blockchain technology on cybersecurity innovation and data protection mechanisms, and how blockchain technology can contribute to the expansion of information security and improve overall data resilience in network environments. The methodology section delves into the fundamentals of blockchain technology, explaining different types of blockchain networks, consensus protocols, proof of work, and asymmetric encryption. The proposed system includes a detailed system architecture, data storage mechanisms, and blockchain algorithms for securing data and configuration files. Through experimentation and evaluation of the proposed system, the effectiveness of protecting data against vulnerabilities in real-world scenarios, including ransomware attacks, integration of blockchain, and evaluation of performance are analyzed. This thesis aims to make significant contributions to the field of information security by showcasing the transformative capabilities of blockchain technology in enhancing data security innovation, fostering data resilience in network environments, and advancing network security practices in the digital era.
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    ItemOpen Access
    AI & Feedback Analytics in Higher Education: Strategies to Enhance Your Teaching and Learning Experience
    (Annual Explorance 2024 conference, 2025-02) Prof. Andrew Turner; Samit Lotlikar; Dr. Shifan Khanday; Prof. Ahmed Ghonim; Prof. Abhilasha Singh; Dr. Amit Sareen; Dr. Hanadi Kadbey; Dr. Reem Al Gurg; Suzan Abu Shakra; Gulnaz Toguzbayeva; Samer Jaffar
    Artificial intelligence is no longer a future concept; it’s here to stay, and it’s revolutionizing how organizations innovate and thrive. For higher education institutions, AI offers a winning formula to prioritize growth and enhance student engagement. By harnessing the power of AI-powered feedback analytics, institutions move beyond surface-level insights, uncovering actionable opportunities that drive meaningful change. This eBook dives into how AI transforms the way higher education institutions collect, analyze, and act on student feedback. With these tools, institutions can uncover patterns, detect early warning signs, and implement strategies that align with their mission and vision—making AI an indispensable ally in shaping the future of higher education.
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    ItemOpen Access
    THE USE OF AI CHATBOTS IN FOREIGN LANGUAGE TEACHING: A COMPREHENSIVE LITERATURE REVIEW
    (SDU University, 2025) Bagdaulet Abykhanov; Mehmet Ali Yaylaci
    Artificial Intelligence (AI) has become one of the most significant technological advancements and is widely integrated across diverse fields. In this regard, foreign language education is no exception: AI-powered chatbots are frequently used as language-learning tools. AI chatbots are software applications or websites that enable two-way interaction via textual or audio output. Despite rapid advances in AI development, there has been a lack of studies on its application. Therefore, this literature review aims to examine previous studies on the implementation of AI chatbots in foreign language education, focusing on EFL teachers’ perceptions. To achieve this aim, 20 articles were chosen for the review. The articles were selected from several databases and research platforms, namely Google Scholar, ERIC, and Sci-Space, published over a three-year period between 2022 and 2025.