An empirical study of supervised email classification in Internet of Things: Practical performance and key influencing factors

Keyphrases

• Key Influencing Factors 100%
• Internet of Things 100%
• Practical Performance 100%
• Email Classification 100%
• Performance Influence 100%
• Malicious Emails 66%
• Copyright 33%
• Information Collection 33%
• Information Sharing 33%
• User Feedback 33%
• Security Issues 33%
• Evaluative Feedback 33%
• Practical Evaluation 33%
• Artificial Intelligence 33%
• Machine Learning 33%
• Learning Algorithm 33%
• Common Learning 33%
• Supervised Learning 33%
• Internet of Things System 33%
• Attacker 33%
• Fluctuant 33%
• LIBSVM 33%
• SMO-SVM 33%
• Phishing 33%
• Event Notification 33%
• Spam Email 33%

Computer Science

• Influencing Factor 100%
• Internet of Things 100%
• Malicious Email 50%
• Machine Learning 25%
• e-Mail 25%
• Artificial Intelligence 25%
• Learning Algorithm 25%
• Support Vector Machine 25%
• Supervised Learning 25%
• Attackers 25%
• Security Challenge 25%
• Legitimate Email 25%
• spam email 25%
• Event Notification 25%