Context-aware embeddings for robust multiclass fraudulent URL detection in online social platforms

Keyphrases

• Multi-class 100%
• Uniform Resource Locators 100%
• Online Social Platforms 100%
• Contextual Embeddings 100%
• Online Social Networks 66%
• Cybercrime 33%
• Bidirectional Encoder Representations from Transformers 33%
• Modern Life 16%
• Information Sharing 16%
• Social Needs 16%
• Artificial Neural Network 16%
• In Tandem 16%
• Means of Communication 16%
• Defense Mechanisms 16%
• Social Network User 16%
• Malware 16%
• Granularity 16%
• Static Analysis 16%
• Accuracy Rate 16%
• Means of Information 16%
• Phishing 16%
• Classification Methods 16%
• Informational Needs 16%
• Lurking 16%
• Defacement 16%
• Spam 16%
• Access Features 16%
• Feature Analysis 16%

Computer Science

• Uniform Resource Locator 100%
• Social Platform 100%
• Online Social Networks 66%
• Bidirectional Encoder Representations From Transformers 33%
• Cybercriminals 33%
• Artificial Neural Network 33%
• Malware 16%
• Static Program Analysis 16%
• Granularity 16%
• Classification Method 16%
• spam 16%
• Classification 16%