3 papers
cs.CR2026
Eliciting Least-to-Most Reasoning for Phishing URL Detection
Holly Trikilis, Pasindu Marasinghe, Fariza Rashid +1
Phishing continues to be one of the most prevalent attack vectors, making accurate classification of phishing URLs essential. Recently, large language models (LLMs) have demonstrat…
cs.AI2024
LLMs are One-Shot URL Classifiers and Explainers
Fariza Rashid, Nishavi Ranaweera, Ben Doyle +1
Malicious URL classification represents a crucial aspect of cyber security. Although existing work comprises numerous machine learning and deep learning-based URL classification mo…
cs.CR2022
Non-Contrastive Learning-based Behavioural Biometrics for Smart IoT Devices
Oshan Jayawardana, Fariza Rashid, Suranga Seneviratne
Behaviour biometrics are being explored as a viable alternative to overcome the limitations of traditional authentication methods such as passwords and static biometrics. Also, the…