11 citations · 47 across the 15 of their papers we have counts for
15 papers
Pluralism in AI Governance: Toward Sociotechnical Alignment and Normative Coherence
Mike Wa Nkongolo
This paper examines the challenge of embedding public values into national artificial intelligence (AI) governance frameworks, a task complicated by the sociotechnical nature of co…
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…
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 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…
Enhancing search engine precision and user experience through sentiment-based polysemy resolution
Mike Nkongolo
With the proliferation of digital content and the need for efficient information retrieval, this study's insights can be applied to various domains, including news services, e-comm…
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…
Smart Sentiment Analysis-based Search Engine Classification Intelligence
Mike Nkongolo
Search engines are widely used for finding information on the internet. However, there are limitations in the current search approach, such as providing popular but not necessarily…