11 citations · 47 across the 15 of their papers we have counts for
8 papers · 1 filter
Integrating Public Input and Technical Expertise for Effective Cybersecurity Policy Formulation
Hlekane Ngobeni, Mike Wa Nkongolo
The evolving of digital transformation and increased use of technology comes with increased cyber vulnerabilities, which compromise national security. Cyber-threats become more sop…
Interpretable Ransomware Detection Using Hybrid Large Language Models: A Comparative Analysis of BERT, RoBERTa, and DeBERTa Through LIME and SHAP
Elodie Mutombo Ngoie, Mike Nkongolo Wa Nkongolo, Peace Azugo +1
Ransomware continues to evolve in complexity, making early and explainable detection a critical requirement for modern cybersecurity systems. This study presents a comparative anal…
A Proactive Insider Threat Management Framework Using Explainable Machine Learning
Selma Shikonde, Mike Wa Nkongolo
Over the years, the technological landscape has evolved, reshaping the security posture of organisations and increasing their exposure to cybersecurity threats, many originating fr…
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…
Blockchain security for ransomware detection
Elodie Ngoie Mutombo, Mike Wa Nkongolo
Blockchain networks are critical for safeguarding digital transactions and assets, but they are increasingly targeted by ransomware attacks exploiting zero-day vulnerabilities. Tra…
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…
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…
Stacking an autoencoder for feature selection of zero-day threats
Mahmut Tokmak, Mike Nkongolo
Zero-day attack detection plays a critical role in mitigating risks, protecting assets, and staying ahead in the evolving threat landscape. This study explores the application of s…