Saudi Cultural Missions Theses & Dissertations
Permanent URI for this communityhttps://drepo.sdl.edu.sa/handle/20.500.14154/10
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Item Restricted Sharper Swords, Tougher Shields The Impact of GenAI on the Offensive-Defensive Balance in Cyberspace(King’s College London, 2024-08-26) Abanumay, Sarah; Devanny, JosephThis dissertation investigates the relative advantages of generative artificial intelligence (GenAI) to cyber defensive and offensive operations. It examines how state and non-state actors can utilise GenAI, arguing that while GenAI can significantly enhance both offensive and defensive cyber operations, the extent of these benefits is determined by four interrelated factors: geostrategic priorities, economic resources, regulatory frameworks, and organisational capabilities. These factors collectively shape the cyber offensive-defensive balance, a central concept in this study for understanding GenAI's impact on cyber operations. The research follows a literature-based methodology guided by frameworks such as the NIST Cybersecurity Framework 2.0 and the Cyber Kill Chain. The dissertation is structured into three chapters: the evolution of GenAI in cybersecurity, an analysis of strategic debates and the offensive-defensive balance and an exploration of the factors shaping this balance. The findings provide valuable insights for maintaining cybersecurity in the GenAI era.6 0Item Restricted INTO THE DIGITAL ABYSS: EXPLORING THE DEPTHS OF DATA COLLECTED BY IOT DEVICES(Johns Hopkins University, 2024-02-22) Almogbil, Atheer; Rubin, AvielThe proliferation of interconnected smart devices, once ordinary household appliances, has led to an exponential increase in sensitive data collection and transmission. The security and privacy of IoT devices, however, have lagged behind their rapid deployment, creating vulnerabilities that can be exploited by malicious actors. While security attacks on IoT devices have garnered attention, privacy implications often go unnoticed, exposing users to potential risks without their awareness. Our research contributes to a deeper understanding of user privacy concerns and implications caused by data collection within the vast landscape of the Internet of Things (IoT). We uncover the true extent of data accessible to adversarial individuals and propose a solution to ensure data privacy in precarious situations. We provide valuable insights, paving the way for a more informed and comprehensive approach to studying, addressing, and raising awareness about privacy issues within the evolving landscape of smart home environments.13 0