Hybrid CNN-LSTM Models for Phishing Website Detection

Metadane

• Autorzy: T. Quang, H. Nguyen, D. Le
• Rok: 2020
• Źródło: Proceedings of the 2020 IEEE Conference on Cybersecurity, pages 200-208
• DOI/Link: 10.1109/CS2020.9876543
• Status: to-read
• Pochodzenie: Wyekstrahowane z phishsense-1b-2025
• Tagi: to-read reference hybrid-architecture cnn lstm phishing-detection

Notatki

Publikacja dodana automatycznie z bibliografii. Hybrid approach combining CNNs with LSTMs.

Kluczowe podejście (cytowane w Phishsense-1B):

• Integrated CNN and LSTM layers do simultaneously leverage:
  • Spatial feature extraction (CNN)
  • Temporal sequence learning (LSTM)
• Rezultat: higher F1-scores i reduced false positives vs single-architecture models
• Capture both local patterns (e.g., character sequences w phishing URLs) i overall sequence structure

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