26 citations · 69 across the 10 of their papers we have counts for
10 papers
Zero-day attack and ransomware detection
Steven Jabulani Nhlapo, Mike Nkongolo Wa Nkongolo
Zero-day and ransomware attacks continue to challenge traditional Network Intrusion Detection Systems (NIDS), revealing their limitations in timely threat classification. Despite e…
Using ARIMA to Predict the Expansion of Subscriber Data Consumption
Mike Wa Nkongolo
This study discusses how insights retrieved from subscriber data can impact decision-making in telecommunications, focusing on predictive modeling using machine learning techniques…
Ransomware Detection and Classification Using Random Forest: A Case Study with the UGRansome2024 Dataset
Peace Azugo, Hein Venter, Mike Wa Nkongolo
Cybersecurity faces challenges in identifying and mitigating ransomware, which is important for protecting critical infrastructures. The absence of datasets for distinguishing norm…
CyberMoraba: A game-based approach enhancing cybersecurity awareness
Mike Nkongolo
Numerous studies confirm Cybersecurity Awareness Games (CAGs) effectively bolster organisational security against cyberattacks. This article introduces a serious CAG, integrating t…
Ransomware detection using stacked autoencoder for feature selection
Mike Nkongolo, Mahmut Tokmak
The aim of this study is to propose and evaluate an advanced ransomware detection and classification method that combines a Stacked Autoencoder (SAE) for precise feature selection…
Ransomware Detection Dynamics: Insights and Implications
Mike Nkongolo
The rise of ransomware attacks has necessitated the development of effective strategies for identifying and mitigating these threats. This research investigates the utilization of…