SHAP interpretations of tree and neural network DNS classifiers for analyzing DGA family characteristics

N Kostopoulos, D Kalogeras, D Pantazatos… - IEEE …, 2023 - ieeexplore.ieee.org
Domain Generation Algorithms (DGA's) have been employed by botnet orchestrators for
controlling infected hosts (bots), while evading detection by performing multiple DNS …

False Sense of Security: Leveraging XAI to Analyze the Reasoning and True Performance of Context-less DGA Classifiers

A Drichel, U Meyer - Proceedings of the 26th International Symposium …, 2023 - dl.acm.org
The problem of revealing botnet activity through Domain Generation Algorithm (DGA)
detection seems to be solved, considering that available deep learning classifiers achieve …

Increasing Detection Rate for Imbalanced Malicious Traffic using Generative Adversarial Networks

P Memmesheimer, S Machmeier… - European Interdisciplinary …, 2024 - dl.acm.org
Intrusion Detection and Prevention Systems aim to detect and prevent malicious activity or
policy violations. Anomaly-based models like autoencoders or neural networks have …

Enabling Quantum Cybersecurity Analytics in Botnet Detection: Stable Architecture and Speed-up through Tree Algorithms

M Tehrani, E Sultanow, WJ Buchanan, M Amir… - arXiv preprint arXiv …, 2023 - arxiv.org
For the first time, we enable the execution of hybrid machine learning methods on real
quantum computers, with 100 data samples, and also with real-device-based simulations …

[引用][C] Χρήση eXplainable Artificial Intelligence (XAI) για την επεξήγηση μοντέλων ανίχνευσης κίνησης από Domain Generation Algorithms (DGA)

Μ Μιχαηλίδης - 2023 - dspace.lib.ntua.gr
Χρήση eXplainable Artificial Intelligence (XAI) για την επεξήγηση μοντέλων ανίχνευσης
κίνησης από Domain Generation Algorithms (DGA) Αρχική Σελίδα → Κεντρική Βιβλιοθήκη …