BEAM - An Algorithm for Detecting Phishing Link

Keyphrases

• Attention Model 100%
• Phishing 100%
• BERT Embeddings 100%
• Bidirectional Encoder Representations from Transformers 60%
• Subword 40%
• Subword Tokenization 40%
• Detection Method 20%
• Feature Vector 20%
• Attention Mechanism 20%
• Token-based 20%
• Data Preprocessing 20%
• Transformer Model 20%
• Existing State 20%
• Sequence Representation 20%
• Machine Learning Models 20%
• Random Forest 20%
• Attention-based 20%
• Tokenization 20%
• XGBoost 20%
• Convolutional Long Short-term Memory (ConvLSTM) 20%
• Transformer Embeddings 20%
• Phishing Detection 20%
• Numerical Sequences 20%
• Malicious URL Detection 20%
• Context Features 20%

Engineering

• Feature Vector 100%
• Experimental Result 100%
• Building Block 100%
• Random Forest 100%
• Data Preprocessing 100%
• Learning System 100%
• Convolutional Neural Network 100%

Computer Science

• Bidirectional Encoder Representations From Transformers 100%
• Lexical Tokenization 42%
• Convolutional Neural Network 14%
• Building-Blocks 14%
• Random Decision Forest 14%
• Data Preprocessing 14%
• Attention (Machine Learning) 14%
• XGBoost 14%
• Bidirectional Long Short-Term Memory Network 14%
• Feature Vector 14%
• Detection Method 14%
• Experimental Result 14%
• Phishing Detection 14%
• Machine Learning 14%
• Learning System 14%