6 papers
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…
Improving News Recommendations through Hybrid Sentiment Modelling and Reinforcement Learning
Eunice Kingenga, Mike Wa Nkongolo
News recommendation systems rely on automated sentiment analysis to personalise content and enhance user engagement. Conventional approaches often struggle with ambiguity, lexicon…
TriLex: A Framework for Multilingual Sentiment Analysis in Low-Resource South African Languages
Mike Nkongolo, Hilton Vorster, Josh Warren +7
Low-resource African languages remain underrepresented in sentiment analysis, limiting both lexical coverage and the performance of multilingual Natural Language Processing (NLP) s…
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…
A Multilingual Sentiment Lexicon for Low-Resource Language Translation using Large Languages Models and Explainable AI
Melusi Malinga, Isaac Lupanda, Mike Wa Nkongolo +1
South Africa and the Democratic Republic of Congo (DRC) present a complex linguistic landscape with languages such as Zulu, Sepedi, Afrikaans, French, English, and Tshiluba (Ciluba…