5 papers
ReGAIN: Retrieval-Grounded AI Framework for Network Traffic Analysis
Shaghayegh Shajarian, Kennedy Marsh, James Benson +2
Modern networks generate vast, heterogeneous traffic that must be continuously analyzed for security and performance. Traditional network traffic analysis systems, whether rule-bas…
FedP3E: Privacy-Preserving Prototype Exchange for Non-IID IoT Malware Detection in Cross-Silo Federated Learning
Rami Darwish, Mahmoud Abdelsalam, Sajad Khorsandroo +1
As IoT ecosystems continue to expand across critical sectors, they have become prominent targets for increasingly sophisticated and large-scale malware attacks. The evolving threat…
Explainable Artificial Intelligence (XAI) for Malware Analysis: A Survey of Techniques, Applications, and Open Challenges
Harikha Manthena, Shaghayegh Shajarian, Jeffrey Kimmell +3
Machine learning (ML) has rapidly advanced in recent years, revolutionizing fields such as finance, medicine, and cybersecurity. In malware detection, ML-based approaches have demo…
Deep Learning Based XIoT Malware Analysis: A Comprehensive Survey, Taxonomy, and Research Challenges
Rami Darwish, Mahmoud Abdelsalam, Sajad Khorsandroo
The Internet of Things (IoT) is one of the fastest-growing computing industries. By the end of 2027, more than 29 billion devices are expected to be connected. These smart devices…
AI-Cybersecurity Education Through Designing AI-based Cyberharassment Detection Lab
Ebuka Okpala, Nishant Vishwamitra, Keyan Guo +7
Cyberharassment is a critical, socially relevant cybersecurity problem because of the adverse effects it can have on targeted groups or individuals. While progress has been made in…