All Outputs (2)

Comparative Evaluation of Machine Learning and Signature-Based NIDS for Multi-Class and Binary Threat Detection (2025)
Presentation / Conference Contribution

Network Intrusion Detection Systems (NIDS) are essential in safeguarding networks from evolving cyber threats. Traditional signature-based NIDS, such as Snort, struggle with zero-day attacks and lack adaptability. This study presents a unified, empir... Read More about Comparative Evaluation of Machine Learning and Signature-Based NIDS for Multi-Class and Binary Threat Detection.

Improving Predictive Process Analytics with Deep Learning and XAI (2024)
Thesis

In this doctoral thesis, we explore the innovative application of the Tab Transformer
architecture in the realm of predictive process mining, marking a significant advancement in
forecasting subsequent events within activity sequences. Utilising th... Read More about Improving Predictive Process Analytics with Deep Learning and XAI.