Publications (6)
A Survey of Heterogeneous Graph Neural Networks for Cybersecurity Anomaly Detection
Laura Jiang, Reza Ryan, Qian Li +1
Anomaly detection is a critical task in cybersecurity, where identifying insider threats, access violations, and coordinated attacks is essential for ensuring system resilience. Gr…
A Deterministic Forensic Preprocessing Framework for Heterogeneous Network Datasets: Formal Foundations, Implementation, and Empirical Validation
Ravi Chaudhary, Reza Ryan, Nasim Ferdosian +2
Digital forensic investigations increasingly depend on preprocessing heterogeneous network evidence from intrusion detection systems, IoT devices, and enterprise traffic logs. Inco…
From Minds to Models: The Intersection of Psychology and LLM Behaviours
Oliver Guidetti, Reza Ryan
The paper applies psychological methods, specifically a prompt-based Implicit Association Test, to examine whether ChatGPT exhibits sentiment differences across racial conditions,…
Rethinking Fraud Safety Evaluation: Multi-Round Attacks Reveal Safety-Utility Tradeoffs in Graph-Context LLM Defenders
Laura Jiang, Reza Ryan, Qian Li +1
Single-turn safety evaluation is a poor proxy for real fraud defense, where attackers escalate across multiple rounds. This paper evaluates fraud defenders under replay and adaptiv…
Smart Surveillance: Identifying IoT Device Behaviours using ML-Powered Traffic Analysis
Reza Ryan, Napoleon Paciente, Cahil Youngs +3
The proliferation of Internet of Things (IoT) devices has grown exponentially in recent years, introducing significant security challenges. Accurate identification of the types of…
LLMLogAnalyzer: A Clustering-Based Log Analysis Chatbot using Large Language Models
Peng Cai, Reza Ryan, Nickson M. Karie
System logs are a cornerstone of cybersecurity, supporting proactive breach prevention and post-incident investigations. However, analyzing vast amounts of diverse log data remains…