Research

BERT-Based Phishing Detection Enhanced with Low-Rank Adaptation

1 min. czytania

BERT-Based Phishing Detection Enhanced with Low-Rank Adaptation

Metadane

  • Autorzy: M. Aslam, F. Hussain, Z. Yousaf
  • Rok: 2024
  • Źródło: Journal of Information Security, 18(2):210-220
  • DOI/Link: 10.1109/JIS.2024.2345678
  • Status: to-read
  • Pochodzenie: Wyekstrahowane z phishsense-1b-2025
  • Tagi: to-read reference bert lora phishing-detection url-analysis

Notatki

Publikacja dodana automatycznie z bibliografii. LoRA applied to BERT-based phishing detector.

Kluczowe wyniki (cytowane w Phishsense-1B):

  • Applied LoRA do BERT-based phishing detector
  • Achieving 98% accuracy na large-scale malicious URL dataset (650,000+ URLs)
  • Significantly reduced training time i memory requirements
  • Success of parameter-efficient strategy underscores potential dla deployment robust phishing detection systems w real-world environments

Practical implications:

  • Deployment real-time phishing detection systems across wide range of platforms
  • From enterprise servers do mobile devices

Dodaj PDF aby wygenerować pełne podsumowanie używając /summarize-paper aslam-bert-lora-phishing-2024

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