Mike Wa Nkongolo

According to our database, Mike Wa Nkongolo authored at least 26 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of six.

2026

Pluralism in AI Governance: Toward Sociotechnical Alignment and Normative Coherence.

Mike Wa Nkongolo

CoRR, February, 2026

Improving News Recommendations through Hybrid Sentiment Modelling and Reinforcement Learning.

Eunice Kingenga, Mike Wa Nkongolo

CoRR, January, 2026

2025

Integrating Public Input and Technical Expertise for Effective Cybersecurity Policy Formulation.

Hlekane Ngobeni, Mike Wa Nkongolo

CoRR, December, 2025

Interpretable Ransomware Detection Using Hybrid Large Language Models: A Comparative Analysis of BERT, RoBERTa, and DeBERTa Through LIME and SHAP.

Elodie Ngoie Mutombo, Mike Wa Nkongolo, Peace Azugo, Mahmut Tokmak

CoRR, November, 2025

A Proactive Insider Threat Management Framework Using Explainable Machine Learning.

Selma Shikonde, Mike Wa Nkongolo

CoRR, October, 2025

Cryptojacking detection using local interpretable model-agnostic explanations.

Elodie Ngoie Mutombo, Mike Wa Nkongolo, Mahmut Tokmak

IACR Cryptol. ePrint Arch., 2025

Parameterised Quantum SVM with Data-Driven Entanglement for Zero-Day Exploit Detection.

Steven Jabulani Nhlapo, Elodie Ngoie Mutombo, Mike Wa Nkongolo

Comput., 2025

2024

Cryptographic Security through Kleene's Theorem and Automata Theory.

Mike Wa Nkongolo

IACR Cryptol. ePrint Arch., 2024

A Multilingual Sentiment Lexicon for Low-Resource Language Translation using Large Languages Models and Explainable AI.

Melusi Malinga, Isaac Lupanda, Mike Wa Nkongolo, Jacobus Philippus van Deventer

CoRR, 2024

Zero-day attack and ransomware detection.

Steven Jabulani Nhlapo, Mike Wa Nkongolo

CoRR, 2024

Blockchain security for ransomware detection.

Elodie Ngoie Mutombo, Mike Wa Nkongolo

CoRR, 2024

Using ARIMA to Predict the Expansion of Subscriber Data Consumption.

Mike Wa Nkongolo

CoRR, 2024

Ransomware Detection and Classification Using Random Forest: A Case Study with the UGRansome2024 Dataset.

Peace Azugo, Hein Venter, Mike Wa Nkongolo

CoRR, 2024

Ransomware detection using stacked autoencoder for feature selection.

Mike Wa Nkongolo, Mahmut Tokmak

CoRR, 2024

Requirements for a Career in Information Security: A Comprehensive Review.

Mike Wa Nkongolo, Nita Mennega, Izaan van Zyl

CoRR, 2024

2023

News Classification and Categorization with Smart Function Sentiment Analysis.

Mike Wa Nkongolo

Int. J. Intell. Syst., 2023

Zero-day vulnerability prevention with recursive feature elimination and ensemble learning.

Mike Wa Nkongolo

IACR Cryptol. ePrint Arch., 2023

Fuzzification-based Feature Selection for Enhanced Website Content Encryption.

Mike Wa Nkongolo

IACR Cryptol. ePrint Arch., 2023

Stacking an autoencoder for feature selection of zero-day threats.

Mahmut Tokmak, Mike Wa Nkongolo

CoRR, 2023

Navigating the complex nexus: cybersecurity in political landscapes.

Mike Wa Nkongolo

CoRR, 2023

Data Protection for Data Privacy-A South African Problem?

Venessa Darwin, Mike Wa Nkongolo

CoRR, 2023

Smart Sentiment Analysis-based Search Engine Classification Intelligence.

Mike Wa Nkongolo

CoRR, 2023

Cybersecurity Career Requirements: A Literature Review.

Mike Wa Nkongolo, Nita Mennega, Izaan van Zyl

CoRR, 2023

Fuzzy Feature Selection with Key-based Cryptographic Transformations.

Mike Wa Nkongolo

CoRR, 2023

Zero-Day Threats Detection for Critical Infrastructures.

Mike Wa Nkongolo, Mahmut Tokmak

CoRR, 2023

2021

UGRansome1819: A Novel Dataset for Anomaly Detection and Zero-Day Threats.

Mike Wa Nkongolo, Jacobus Philippus van Deventer, Sydney Mambwe Kasongo

Inf., 2021