Kafunda Katalayi Pierre

Neural Network-Based DDoS Attack Detection in the Context of Unbalanced Classes: A Comparative Study of Resampling Methods

Kalala Kanyinda Norbert & Kafunda Katalayi Pierre · Asian Journal of Research in Computer Science · 2026

Cyberattacks have been steadily increasing for the past twenty years. DDoS attacks, in particular, represent one of the greatest threats to organizations. A DDoS attack aims to render an information system's resources unavailable by overwhelming them with numerous requests origin...

Open access Research Article 10.9734/ajrcos/2026/v19i6867

Neural Network-based Model for Detecting Credit Card Fraud: A Comparative Study of Oversampling Techniques and Feature Selection

Kalala Kanyinda Norbert, Mukala Patrick & Kafunda Katalayi Pierre · Asian Journal of Research in Computer Science · 2026

Credit card fraud detection is complicated by the severe class imbalance typical of transaction data, because fraudulent cases represent only a small proportion of observations. This study develops a neural-network-based model for classifying transactions as legitimate or fraudul...

Open access Research Article 10.9734/ajrcos/2026/v19i9906