56 citations · 233 across the 22 of their papers we have counts for
5 papers · 1 filter
Binary and Multiclass Cyberattack Classification on GeNIS Dataset
Miguel Silva, Daniela Pinto, João Vitorino +4
The integration of Artificial Intelligence (AI) in Network Intrusion Detection Systems (NIDS) is a promising approach to tackle the increasing sophistication of cyberattacks. Howev…
Revisiting Network Traffic Analysis: Compatible network flows for ML models
João Vitorino, Daniela Pinto, Eva Maia +2
To ensure that Machine Learning (ML) models can perform a robust detection and classification of cyberattacks, it is essential to train them with high-quality datasets with relevan…
Adversarially Robust and Interpretable Magecart Malware Detection
Pedro Pereira, José Gouveia, João Vitorino +2
Magecart skimming attacks have emerged as a significant threat to client-side security and user trust in online payment systems. This paper addresses the challenge of achieving rob…
SPATA: Systematic Pattern Analysis for Detailed and Transparent Data Cards
João Vitorino, Eva Maia, Isabel Praça +1
Due to the susceptibility of Artificial Intelligence (AI) to data perturbations and adversarial examples, it is crucial to perform a thorough robustness evaluation before any Machi…
Enhancing JavaScript Malware Detection through Weighted Behavioral DFAs
Pedro Pereira, José Gonçalves, João Vitorino +2
This work addresses JavaScript malware detection to enhance client-side web application security with a behavior-based system. The ability to detect malicious JavaScript execution…