Saudi Cultural Missions Theses & Dissertations

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    A Systematic Review of User Consent, Transparency, and Secure Data Transmission and Storage
    (University of Technology Sydney (UTS), 2024-11-03) Alharbi, Sultanah; Hussain, Farookh Khadeer
    Smart home technology is revolutionizing residential environments by connecting devices to enhance comfort, safety, and energy efficiency. However, these advancements raise significant privacy concerns, particularly in data collection, transmission, and storage. This systematic review examines user consent, transparency, and secure data handling in smart homes, identifying challenges and innovative solutions such as blockchain and AI integration. The review highlights deficiencies in current consent mechanisms, the complexity of GDPR compliance, and practical barriers to implementation, offering insights for future research and practical privacy frameworks.
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    Improvements of Technical Blockchain to Combat Ransomware Attacks in Healthcare
    (Newcastle University, 2024) Albalawi, Sarah; Mace, John
    In the face of increasing cybersecurity threats, ransomware attacks have become a significant risk to critical sectors such as healthcare. As medical healthcare systems increasingly rely on electronic health records, they face heightened vulnerabilities that can compromise patient data and disrupt essential medical services. Ransomware attacks can encrypt and render critical medical records inaccessible, jeopardising patient care. This research aims to develop and evaluate a blockchain-based solution designed to secure medical healthcare records against ransomware, enhancing data integrity, availability, and security in healthcare systems. By leveraging blockchain technology, specifically by using smart contracts and decentralised applications on the Ethereum platform, the proposed solution creates a decentralised, immutable medical record management system. The system's robustness is demonstrated through a Python-based ransomware simulation, which compares locally stored medical data with data managed via blockchain. The findings show that the blockchain-based approach and smart contracts maintain data integrity and availability during ransomware attacks, preventing unauthorised access and ensuring continuous healthcare operations. These results suggest that adopting blockchain technology in healthcare can significantly mitigate the risks posed by ransomware, reduce operational disruptions, and protect patient data from evolving cyber threats, ultimately providing a scalable and secure solution for enhancing cybersecurity in the healthcare sector.
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    What Do Investors Care About in Cryptocurrency Markets? Evidence from ESG Ratings and NFTs
    (University of East Anglia, 2024-09) Alsultan, Sarah Abdulrahman; Markellos, Raphael; Kourtis, Apostolos
    While cryptocurrencies have seen limited adoption as a medium of exchange, they have been recognised as a new class of investment assets. A broader range of investors, including institutional investors, has shown growing interest in cryptocurrency and digital assets. Therefore, this thesis contributes to the literature by thoroughly examining digital technologies as investment assets through three empirical studies. The first study explores whether investors prefer blockchains with strong Environmental, Social, and Governance (ESG), using a novel dataset of blockchain ESG scores. The findings reveal a time-varying preference for high-ESG blockchains. The top-rated blockchains outperform lower-rated ones during favourable market conditions and optimistic market sentiment but underperform during times of negative sentiment. Our findings also indicate that high-ESG blockchains exhibit higher market volatility. Furthermore, governance and environmental factors have the strongest influence on investor preferences among the three ESG dimensions. The second study examines NFTs as a relatively new asset class that is not yet fully understood, particularly in terms of risk modelling. It evaluates and compares the forecasting performance of various GARCH models in estimating NFT market volatility across different time horizons. The selected models include GARCH(1,1), IGARCH(1,1), EGARCH(1,1), GJR- GARCH(1,1), and TGARCH(1,1). The dataset comprises three major NFT categories, six NFT token platforms, and major cryptocurrencies, including Bitcoin and Ethereum. Empirical evidence shows that different models perform better depending on the asset type and forecast horizon. The findings highlight the highly volatile nature of NFT markets. The third study assesses the impact of visual attractiveness on NFT market prices. Prior art literature has demonstrated the role of aesthetics in influencing art prices. Given the similarities between NFTs and traditional art, this study investigates whether aesthetics similarly impact NFT prices. The empirical analysis focuses on one of the largest NFT collections, CryptoPunks, by applying a hedonic pricing model. We employ quantitative aesthetic measures to capture aspects of NFT art, including colourfulness, brightness, colour intensity, and texture. Our results reveal a significant impact of visual aesthetics on determining NFT prices. The results indicate that more colourful and visually complex NFTs are associated with higher prices, while brighter and more saturated NFTs are associated with lower prices.
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    IoT: current challenges and future applications
    (Saudi Digital Library, 2023-08-30) Almutairi, Nader; Palego, Cristiano
    This master's thesis explores the dynamic landscape of Internet of Things (IoT) technology, focusing on its transformative potential and obstacles. The study explores the role of IoT devices in reshaping industries, enhancing efficiency, and enhancing resource management by navigating the complex web of IoT devices. The investigation identifies key contributors to the prevalent security vulnerabilities in IoT systems and suggests strategies to strengthen their defences. The research creates a comprehensive framework that combines encryption, authentication, and anomaly detection mechanisms to address the pressing need for secure and efficient IoT solutions. Utilising cutting-edge technologies such as machine learning and blockchain, the framework not only improves the security of IoT devices, but also guarantees data integrity and user privacy. This solution's significance rests in its capacity to pave the way for safer and more reliable IoT technology, thereby nurturing confidence among users, industries, and policymakers. The results of the study demonstrate the effectiveness of the proposed framework in protecting IoT ecosystems from cyber threats, while also addressing ethical and regulatory concerns. Beyond technology, this research has implications for societal well-being, sustainable practises, and economic growth. By mitigating the security risks associated with the Internet of Things, this study establishes the foundation for realising the maximum potential of IoT technology in various industries.
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    IMPROVING CONTINUITY AND QUALITY ASSURANCE IN INTERNET OF THINGS INFRASTRUCTURE USING BLOCKCHAIN
    (Saudi Digital Library, 2022) Alshehri, Hussain Ali; Tanik, Murat; Jololian, Leon; Haider, Mohammad; Lingasubramanian, Karthik; Wells, Buren Earl
    In this research I present a rigorous study on the service continuity and quality assurance using the Internet of Things (IoT). The research aims at identifying risks and improving the risk mitigation tools that are currently in use for improving the IoT performance, and for pushing forward the implementation of IoT in mission critical applications. This objective can be accomplished by identifying the impact of the strategic planning, quality assurance, performance assurance, and risk management on the IoT used in businesses. While the focus is mainly on the business continuity domain, the technical aspects of IoT solutions are also covered. The unique contributions are two folds. First, the service continuity objects are recognized and categorized with their properties. Second, several methods are proposed to mitigate the service fallbacks and reduce the risk factors in IoT service discontinuity. The contribution of the research should extend to the technical aspect of IoT. Little work has been done to assess the IoT technology risks in ultra-low power devices. The implementation of these devices is on the rise and more work has to be done to ensure that they meet the minimum continuity certification requirements with reliability, availability and responsiveness. In this research, I will try to find the optimal solution with continuity and quality assurance when we use the IoT. This is by using strategic plans based on international standard strategic foundations and theories, after obtaining the actual results from the strategic planning tools. Moreover, several factors must be taken into consideration, such as reliability, availability, speed of response, continuity, and quality. To the best of my knowledge, this work is one of the first to reflect on IoT continuity in a business assurance context. It also presents a unique approach in identifying the objects contribution to the business assurance by identifying static parameters that are persistent over time, and variable parameters that change over the course of time. In my approach I identify seven areas for IoT continuity and quality assurance: connected manufacturing, asset tracking, marketing, transportation and delivery, smart technologies, data and analytics, and security.
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