7 papers
Threat Modelling using Domain-Adapted Language Models: Empirical Evaluation and Insights
Saba Pourhanifeh, AbdulAziz AbdulGhaffar, Ashraf Matrawy
Large Language Models(LLMs) are increasingly explored for cybersecurity applications such as vulnerability detection. In the domain of threat modelling, prior work has primarily ev…
SA-ADP: Sensitivity-Aware Adaptive Differential Privacy for Large Language Models
Stella Etuk, Ashraf Matrawy
Despite advances in the use of large language models (LLMs) in downstream tasks, their ability to memorize information has raised privacy concerns. Therefore, protecting personally…
PTMF: A Privacy Threat Modeling Framework for IoT with Expert-Driven Threat Propagation Analysis
Emmanuel Dare Alalade, Ashraf Matrawy
Previous studies on PTA have focused on analyzing privacy threats based on the potential areas of occurrence and their likelihood of occurrence. However, an in-depth understanding…
Evaluation Metrics for Misinformation Warning Interventions: Challenges and Prospects
Hussaini Zubairu, Abdelrahaman Abdou, Ashraf Matrawy
Misinformation has become a widespread issue in the 21st century, impacting numerous areas of society and underscoring the need for effective intervention strategies. Among these s…
LLMs' Suitability for Network Security: A Case Study of STRIDE Threat Modeling
AbdulAziz AbdulGhaffar, Ashraf Matrawy
Artificial Intelligence (AI) is expected to be an integral part of next-generation AI-native 6G networks. With the prevalence of AI, researchers have identified numerous use cases…
Privacy Preservation Techniques (PPTs) in IoT Systems: A Scoping Review and Future Directions
Emmanuel Alalade, Ashraf Matrawy
Privacy preservation in Internet of Things (IoT) systems requires the use of privacy-enhancing technologies (PETs) built from innovative technologies such as cryptography and artif…
Privacy Engineering in Smart Home (SH) Systems: A Comprehensive Privacy Threat Analysis and Risk Management Approach
Emmanuel Dare Alalade, Mohammed Mahyoub, Ashraf Matrawy
Addressing trust concerns in Smart Home (SH) systems is imperative due to the limited study on preservation approaches that focus on analyzing and evaluating privacy threats for ef…