Saudi Cultural Missions Theses & Dissertations
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Item Restricted Assessing and Addressing Social Engineering Attacks(Saudi Digital Library, 2025-06-17) Aljabri, Abdulrahman Jubran H; Alyamani, AbdulghaniIn recent years, phishing scams have become one of the most common methods used to target individuals, affecting millions of users globally every year. Cybercriminals now use multiple platforms such as social media, text messages, emails, and voice calls to target victims. Thus, Attackers play on emotions like fear, urgency, or curiosity to pressure people into acting quickly without thinking. This study looked at why people fall for these scams. By surveying 123 participants, we discovered gaps in how people spot phishing attempts and what makes some more vulnerable than others. The outcomes provide evidence-based recommendations for mitigating phishing threats, equipping institutions and governance bodies with recommendations to enhance public resilience against phishing attacks.6 0Item Restricted Analysing and Visualising (Cyber)crime data using Structured Occurrence Nets and Natural Language Processing(Newcastle University, 2025-03-01) Alshammari, Tuwailaa; Koutny, MaciejStructured Occurrence Nets (SONs) are a Petri net-based formalism designed to represent the behaviour of complex evolving systems, capturing concurrent events and interactions between subsystems. Recently, the modelling and visualisation of crime and cybercrime investigations have gained increasing interest. In particular, SONs have proven to be versatile tools for modelling and visualising various applications, including crime and cybercrime. This thesis presents two contributions aimed at making SON-based techniques suitable for real-life applications. The main contribution is motivated by the fact that manually developing SON models from unstructured text can be time-consuming, as it requires extensive reading, comprehension, and model construction. This thesis aims to develop a methodology for the formal representation of unstructured textual resources in English. This involves experimenting, mapping, and deriving relationships between natural and formal languages, specifically using SON for crime modelling and visualisation as an application. The second contribution addresses the scalability of SON-based representations for cybercrime analysis. It provides a novel approach in which acyclic nets have been extended with coloured features to enable reduction of net size to help in visualisation. While the two contributions address distinct challenges, they are unified by their use of SONs as a formalism to model complex systems. Structured occurrence nets demonstrated their adaptability in representing both crime scenarios and cybercrime activities.39 0Item Restricted Analysing and Visualising (Cyber)crime data using Structured Occurrence Nets and Natural Language Processing(2025) Tuwailaa Alshammari; Professor Maciej KoutnyStructured Occurrence Nets (SONs) are a Petri net-based formalism designed to represent the behaviour of complex evolving systems, capturing concurrent events and interactions between subsystems. Recently, the modelling and visualisation of crime and cybercrime investigations have gained increasing interest. In particular, SONs have proven to be versatile tools for modelling and visualising various applications, including crime and cybercrime. This thesis presents two contributions aimed at making SON-based techniques suitable for real-life applications. The main contribution is motivated by the fact that manually developing SON models from unstructured text can be time-consuming, as it requires extensive reading, comprehension, and model construction. This thesis aims to develop a methodology for the formal representation of unstructured textual resources in English. This involves experimenting, mapping, and deriving relationships between natural and formal languages, specifically using SON for crime modelling and visualisation as an application. The second contribution addresses the scalability of SON-based representations for cybercrime analysis. It provides a novel approach in which acyclic nets have been extended with coloured features to enable reduction of net size to help in visualisation. While the two contributions address distinct challenges, they are unified by their use of SONs as a formalism to model complex systems. Structured occurrence nets demonstrated their adaptability in representing both crime scenarios and cybercrime activities.52 0Item Restricted The Impact of Phishing Awareness on the Ability to Identify Phishing Threats and Improve Individual Security Behaviours Among Digital Banking Services Users in Saudi Arabia(University College London, 2024) Alzahrani, Sultan; Quintero, Juliana GomezThis study aimed to determine the impact of phishing awareness on the ability to detect phishing threats and enhance individual security behaviours among users of digital banking services in the Kingdom of Saudi Arabia. To achieve its objectives, study utilised a descriptive approach and quantitative method through a questionnaire as a tool data collection from a sample consisting of 251 bank clients in the Kingdom of Saudi Arabia, study results showed an increase in awareness of phishing crimes and the ability to identify various phishing threats among the sample individuals. It was found that individual security behaviours were good among the sample, and the results indicated a relationship between individual security behaviours and user awareness of phishing threats. It was also found that the ability to identify phishing threats is associated with individual security behaviours.62 0