SACM - United Kingdom
Permanent URI for this collectionhttps://drepo.sdl.edu.sa/handle/20.500.14154/9667
Browse
5 results
Search Results
Item Restricted Risk Management and Resilience in Civil Engineering Megaprojects in Saudi Arabia: A Case Study Of Sindalah Island Resort(Saudi Digital Library, 2025-04) Alali, Hatim; Patel, ImranThis research study investigated the relationship between risk management and resilience in the success of civil engineering megaprojects in Saudi Arabia. Using the Sindalah Island Resort as a case study, the study employed the qualitative research approach, open-ended questionnaire to collect data through a Key Informant Interview, and the thematic analysis method, and findings indicate that leadership styles, technological tools, real-time monitoring are crucial to managing risk and recovering from delays and disruptions in megaprojects.23 0Item Restricted Research on Assessment of Resilience, Mental Toughness, and Confidence Dynamics in Elite Track and Field Athletes in the Kingdom of Saudi Arabia(Saudi Digital Library, 2025-05-01) Moraya, Mohammed; Beattie, StuartAbstract Resilience, mental toughness, and confidence are critical elements for athletes. According to research, resilience entails the ability to withstand or recover quickly from difficulties. Mental toughness, on the other hand, involves the ability to remain persistent and optimistic in the midst of challenges despite the pressure the challenges bring. Lastly, confidence entails a feeling of believing in oneself. This study explores the dynamics of resilience, mental toughness, and confidence among elite athletes in Saudi Arabia, focusing on track and field competitors. A quantitative approach was used to analyze the psychological factors influencing performance and mental well-being. The study involved 99 male athletes from various competition levels across Saudi Arabia. Questionnaires assessed mental toughness, resilience, and confidence, utilizing established psychological scales like MTI, BRS, and SSCI. Data collection was conducted via an online survey, and professional validation ensured the accuracy of the translated questionnaires. Key findings revealed a significant decline in athletes' confidence levels after competition, with resilience (measured by the Connor-Davidson scale) emerging as the strongest predictor of post-performance confidence recovery. While mental toughness predicted pre-match confidence, it had no significant effect on post-match confidence. Only a small percentage of the variance in confidence change was explained by these psychological factors. Cultural factors also played a role, positively correlating self-efficacy with performance outcomes. The research highlights the importance of resilience in helping athletes recover from confidence after poor performance in competitions. This is demonstrated primarily by the Connor-Davidson resilience tool. The same research highlights the role mental toughness plays. As per the findings, it aids in maintaining confidence under pressure. The study advocates incorporating resilience and mental toughness training into athlete development programs to enhance performance and mental health. Future research could explore the long-term impact of these psychological factors and other elements influencing athletic success.10 0Item Restricted Detecting abuse of cloud and public legitimate services as command and control infrastructure using machine learning(Cardiff University, 2024) Al lelah, Turki; Theodorakopoulos, GeorgeThe widespread adoption of Cloud and Public Legitimate Services (CPLS) has inadvertently created new opportunities for cybercriminals to establish hidden and robust command-and-control (C&C) communication infrastructure. This abuse represents a major cybersecurity risk, as it allows malicious traffic to seamlessly disguise itself within normal network activities. Traditional detection systems are proving inadequate in accurately identifying such abuses. Therefore, this thesis is motivated by emphasizing the urgent need for more advanced detection techniques that are capable of identifying the C&C activity hidden within legitimate CPLS traffic. To assess the extent of the cyber threat of abusing CPLS, this thesis presents an ex- tensive Systematic Literature Review (SLR) encompassing academic and industry lit- erature. The review provides a comprehensive categorization of the attack techniques utilized to abuse CPLS as C&C infrastructure. The open problems uncovered through the SLR motivate this thesis to propose a novel Detection System (DS) capable of identifying malware that abuse CPLS as C&C communication channels. Furthermore, to evaluate our system robustness against attempts to evade detection, this thesis intro- duces the Replace Misclassified Parameter (RMCP) adversarial attack. The proposed detection system leverages Artificial Intelligence (AI) techniques, combining static and dynamic malware analysis methods to accurately identify CPLS abuse. The effective- ness of the proposed system is validated through extensive experiments, demonstrating its ability to detect novel and sophisticated attacks that evade traditional security measures. The outcomes of this thesis have significant implications for enhancing the security of cloud environments, contributing valuable knowledge and practical solutions to the field of cloud security.26 0Item Restricted Tracing the Trajectory and Development of Language Teachers’ Resilience Stories from the Saudi context(The University of Nottingham, 2024-01) Aloufey, Mariam; Muir, Christine; Conklin, KathyAcross the world, teachers in general and language teachers in particular, are experiencing significant levels of stress and burnout, leading to their exodus from the profession. The construct of resilience gained considerable interest in education, and studies on resilience have been rapidly growing as it provides a comprehensive framework on how resilient teachers maintain their motivation and commitment to the profession. Although teacher resilience has been widely research in Western contexts, to date no research has examined language teacher resilience in the Saudi context. Accordingly, three qualitative studies have been conducted in sequence to examine the development and trajectories of Saudi language teachers’ resilience throughout their career span. The first of these was an exploratory study that aimed to examine the teaching challenges that teachers experienced throughout the years and how they coped. Data from 11 teachers revealed universal and specific teaching challenges to the Saudi context, and use of faith as one of their coping strategies. Significantly, the data suggested four resilience archetypes that were called 1) A smooth resilience 2) roller-coaster resilience, 3) maladaptive resilience, and 4) a reluctant resilience. To further investigate these findings, a second study was conducted with the 4 teachers representing the archetypes. The results revealed that teachers’ resilience developed gradually and emerged from the dynamic interaction between teachers’ inner systems, which included many components (e.g., learning experience, and self-efficacy) and the different contextual factors in the teaching context over time. Furthermore, the study showed the complex change and development of coping strategies influenced by the reciprocal interaction between teachers and their contexts.13 0Item Restricted Optimising the design of passive optical networks-based data centres(University of Leeds, 2024) Alharthi, Mohammed; Elmirghani, JaafarThe recent growth in cloud-based applications has motivated researchers to focus on improving the scalability, power efficiency, and cost-effectiveness of data centre architectures. State-of-the-art data centres consists of numerous access and aggregation switches which can be costly and can lead to inefficiencies such as unbalanced traffic and high-power consumption. Passive Optical Network (PON) technology, known for its high performance in access networks, can offer energy-efficient, cost-effective, and scalable solutions for modern and future data centres. This thesis aims to propose and enhance a PON-based data centre architecture to enable multi-path routing, load balancing and scalability, enhance resilience and energy efficiency, and reduce latency. The proposed design is based on a two-tier cascaded Arrayed Waveguide Grating Routers (AWGRs) fabric. We develop a Mixed Integer Linear Programming (MILP) model to optimise the wavelength assignment and multipath routing in the proposed architecture. Additionally, we investigate the resilience of the proposed architecture by evaluating its power consumption and delay under several failure scenarios. We also optimise virtual Machine (VM) placement in the proposed architecture to minimise power consumption. A MILP model and a heuristic are developed for VM placement in the proposed architecture and the results show significant power consumption reductions, up to 66% compared to VM placement in the state-of-the-art architecture, the spine and leaf architecture. Furthermore, we consider the use of WDM/TDM multiple access technique with multipath routing in the proposed architecture. A MILP model is developed to jointly optimise time slots allocation and routing and wavelength assignment.23 0