Publications
Article · Computers & Electrical Engineering · February 27, 2025
Development of BiLSTM deep learning model to detect URL-based phishing attacks
Öznur Şifa Akçam, Adem Tekerek, Mehmet Tekerek
Spam and Phishing DetectionMisinformation and Its ImpactsAdversarial Robustness in Machine Learningphishing detectionbidirectional LSTMURL classification
More by Dr. Adem Tekerek
- Limits of Curtailed Wind Utilization by Ferry-Borne Tourist Electric Vehicles: A Milos Island Case StudyProcesses · 2026
- An Explainable Hybrid Deep Learning Framework Combining Fine-Tuned Convolutional Neural Network Ensembles for Dermoscopic Images of Skin LesionsDermatology Practical & Conceptual · 2026
- Detection of Alzheimer's Disease Using Different Machine Learning Models and Performance Comparison of the ModelsInterdisciplinary Conference on Electrics and Computer · 2026
- Raw URL-Based Phishing Detection Using Domain-Separate Evaluation: A Comparison of CharCNN, Transformer, BiGRU, and LexicalMLPInterdisciplinary Conference on Electrics and Computer · 2026