Character-Level Convolutional Neural Networks for URL-Based Phishing Detection
Metadane
- Autorzy: A. Shweta, R. Kumar, S. Patel
- Rok: 2021
- Źródło: Proceedings of the 2021 International Conference on Cybersecurity, pages 101-110
- DOI/Link: 10.1109/ICCS2021.1234567
- Status: to-read
- Pochodzenie: Wyekstrahowane z phishsense-1b-2025
- Tagi: to-read reference cnn url-analysis character-level phishing-detection
Notatki
Publikacja dodana automatycznie z bibliografii. Character-level CNN architecture dla URL phishing detection.
Kluczowe wyniki (cytowane w Phishsense-1B):
- Detection rates as high as 98.74% dla URL-based phishing detection
- Character-level CNN automatically learns hierarchical representations z raw URL data
- Effective at extracting local features i capturing spatial correlations
- Nie rely on pre-defined features - learns discriminative patterns directly z input strings
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