4 papers
Optimisation of federated learning settings under statistical heterogeneity variations
Basem Suleiman, Muhammad Johan Alibasa, Rizka Widyarini Purwanto +3
Federated Learning (FL) enables local devices to collaboratively learn a shared predictive model by only periodically sharing model parameters with a central aggregator. However, F…
PhishSim: Aiding Phishing Website Detection with a Feature-Free Tool
Rizka Purwanto, Arindam Pal, Alan Blair +1
In this paper, we propose a feature-free method for detecting phishing websites using the Normalized Compression Distance (NCD), a parameter-free similarity measure which computes…
Man versus Machine: AutoML and Human Experts' Role in Phishing Detection
Rizka Purwanto, Arindam Pal, Alan Blair +1
Machine learning (ML) has developed rapidly in the past few years and has successfully been utilized for a broad range of tasks, including phishing detection. However, building an…
PhishZip: A New Compression-based Algorithm for Detecting Phishing Websites
Rizka Purwanto, Arindam Pal, Alan Blair +1
Phishing has grown significantly in the past few years and is predicted to further increase in the future. The dynamics of phishing introduce challenges in implementing a robust ph…