Feasibility of Supervised Machine Learning for Cloud Security

Keyphrases

• Cloud Computing 50%
• Cloud Scenario 50%
• Cloud Security 100%
• Cloud Services 50%
• Data Loss 50%
• Experimental Environment 50%
• Learning-based 50%
• Machine Learning 50%
• Machine Learning Models 100%
• Machine Learning Techniques 50%
• Multiple Datasets 50%
• Operating Conditions 50%
• Privacy Concerns 50%
• Security Applications 50%
• Security Threats 50%
• Semantic Gap 50%
• Single Dataset 50%
• Statistical Features 50%
• Supervised Machine Learning 100%
• Thentest 50%
• UNSW Dataset 50%

Computer Science

• Availability Issue 33%
• Cloud Computing 33%
• Cloud Security 100%
• Learning System 100%
• Machine Learning 100%
• Machine Learning Model 100%
• Machine Learning Technique 33%
• Operating Condition 33%
• Security Application 33%
• semantic gap 33%
• Wider Acceptance 33%