Bert Large Uncased Merged
B
Bert Large Uncased Merged
Developed by buDujS
This is a dataset for phishing attack detection, primarily used to train BERT models to identify phishing websites.
Downloads 92
Release Time : 2/15/2025
Model Overview
This dataset contains relevant data on phishing websites and can be used to train machine learning models for phishing attack detection.
Model Features
Phishing Attack Detection
A detection model specifically designed for phishing websites, capable of effectively identifying potential phishing attacks.
BERT-based
Leverages the powerful language understanding capabilities of the BERT model to improve detection accuracy and generalization.
Model Capabilities
Text Classification
Phishing Website Identification
Use Cases
Cybersecurity
Phishing Email Detection
Used to detect phishing links in emails, protecting users from phishing attacks.
Improves the identification rate of phishing emails, reducing the risk of users being deceived.
Malicious Website Blocking
Used in browser extensions or security software to block phishing websites in real-time.
Effectively reduces the likelihood of users accessing phishing websites.
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