Empirical Evaluations of Machine Learning Effectiveness in Detecting Web Application Attacks

Computer Science

• Web Application 100%
• Artificial Neural Network 25%
• Support Vector Machine 25%
• Machine Learning 25%
• Computational Time 25%
• Decision Trees 25%
• Bayes Classifier 25%
• Machine Learning Algorithm 25%
• Logistic Regression 25%
• Unauthorized Access 25%
• Random Decision Forest 25%
• Cybercriminals 25%
• Random Forest Classifier 25%

Keyphrases

• Efficient Machine Learning 33%
• Application Vulnerability 33%