Ergebnis der Datenbankabfrage

Nr.	Titel	Autor	Jahr
1	E2D2: A Modular Framework for Explanation-Based Drift Detection in Unsupervised Network Intrusion Detection	Nugraha, Beny* et al.	2026
2	A Comprehensive 5G Dataset for Control and Data Plane Security and Resource Management	Nugraha, Beny et al.	2025
3	A Novel Adaptive Concept Drift Detection Approach for Evolving Network Traffic Patterns	Nugraha, Beny et al.	2025
4	A versatile XAI-based framework for efficient and explainable intrusion detection systems	Nugraha, Beny et al.	2025
5	An Efficient Explainable Artificial Intelligence (XAI)-Based Framework for a Robust and Explainable IDS	Nugraha, Beny et al.	2025
6	5G Security Landscape: Investigating Attack Vectors in 5G and Beyond Networks	Hajizadeh, Mehrdad et al.	2024
7	Leveraging Federated Learning and Variational Autoencoders for an Enhanced Anomaly Detection System	Nugraha, Beny et al.	2024
8	Improving the Detection of Unknown DDoS Attacks through Continual Learning	Nugraha, Beny* et al.	2023
9	Detecting Adversarial DDoS Attacks in Software- Defined Networking Using Deep Learning Techniques and Adversarial Training	Nugraha, Beny* et al.	2021
10	Deep Learning-based Slow DDoS Attack Detection in SDN-based Networks	Nugraha, Beny et al.	2020
11	Performance Evaluation of Botnet Detection using Deep Learning Techniques	Nugraha, Beny et al.	2020
12	A Novel Impact Analysis Approach for SDN-based Networks	Nugraha, Beny* et al.	2019