A New Hybrid Machine Learning for Cybersecurity Threat Detection Based on Adaptive Boosting

Using Feature Selection and Classification Scheme for Automating Phishing Email Detection

(2017) Isredza Rahmi A HAMID et al.   Studies in Informatics and Control

A novel SVM-kNN-PSO ensemble method for intrusion detection system

(2016) Abdulla Amin Aburomman et al.   APPLIED SOFT COMPUTING

Phishing detection based Associative Classification data mining

(2014) Neda Abdelhamid et al.   EXPERT SYSTEMS WITH APPLICATIONS

Anomaly detection in vessel tracks using Bayesian networks

(2013) Steven Mascaro et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

On-line anomaly detection and resilience in classifier ensembles

(2013) Hesam Sagha et al.   PATTERN RECOGNITION LETTERS

Detection of distributed denial of service attacks using an ensemble of adaptive and hybrid neuro-fuzzy systems

(2012) P. Arun Raj Kumar et al.   COMPUTER COMMUNICATIONS

A weighted voting framework for classifiers ensembles

(2012) Ludmila I. Kuncheva et al.   KNOWLEDGE AND INFORMATION SYSTEMS

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

(2011) M. Galar et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE