Nelder-Mead Optimized Weighted Voting Ensemble Learning for Network Intrusion Detection

Nelder-Mead Optimized Weighted Voting Ensemble Learning for Network Intrusion Detection

The rise in internet usage and data transfer rates has led to numerous anomalies. Hence, anomaly-based intrusion detection systems (IDS) are essential in cybersecurity because of their ability to identify unknown cyber-attacks, especially zero-day attacks that signature-based IDS cannot detect. This...

Full description

Bibliographic Details
Main Authors: Yusuf Sönmez, Mustafa Burak Ürün
Format: Article
Language:English
Published: Düzce University 2024-10-01
Series:Düzce Üniversitesi Bilim ve Teknoloji Dergisi
Subjects:
saldırı tespit sistemleri
topluluk öğrenme
yumuşak oylama
hiperparametre optimizasyonu
nelder-mead algoritması
intrusion detection systems
ensemble learning
soft voting
hyperparameter optimization
nelder-mead algorithm
Online Access:https://dergipark.org.tr/tr/download/article-file/3743915

Internet

https://dergipark.org.tr/tr/download/article-file/3743915

Similar Items