Enhancing Cyber Threat Intelligence with Named Entity Recognition Using BERT-CRF

Keyphrases

• Conditional Random Fields 100%
• Cyber Threat Intelligence 100%
• Named Entity Recognition 100%
• Threat Intelligence 100%
• Publicly Available 66%
• Bidirectional Long Short-term Memory (BiLSTM) 66%
• Conditional Random Field Model 66%
• Intelligence Data 66%
• Popular 33%
• Deep Learning Methods 33%
• Language Model 33%
• Vulnerability 33%
• Core System 33%
• Malware 33%
• Real Environment 33%
• Question Answering 33%
• Organization Security 33%
• Large Amount of Data 33%
• Cyber Threats 33%
• Security Analysts 33%
• Must Analysis 33%
• Cyber Crime 33%
• BiLSTM-CRF 33%
• Field Layer 33%
• Token Embedding 33%
• GPT-3.5 33%
• Core Services 33%

Computer Science

• Conditional Random Field 100%
• Bidirectional Encoder Representations From Transformers 100%
• Cyber Threat Intelligence 100%
• Named Entity Recognition 100%
• Bidirectional Long Short-Term Memory Network 50%
• Threat Intelligence 50%
• Open Source 33%
• Random Field Model 33%
• Intelligence Data 33%
• Language Modeling 16%
• Malware 16%
• Information Analysis 16%
• Cyber Criminal 16%
• Security Analyst 16%
• Entity Database 16%
• Deep Learning Method 16%