A machine learning approach for web intrusion detection: MAMLS perspective

Computer Science

• Intrusion Detection 100%
• Machine Learning 100%
• Microsoft Azure 100%
• Machine Learning Approach 100%
• Web Application 66%
• Performance Metric 33%
• Application Security 33%
• Machine Learning Algorithm 33%
• Support Vector Machine 33%
• Integrated Development Environment 33%
• Threat Landscape 33%
• Data Scientist 33%
• Buffer Overflow 33%
• Open Web Application Security Project 33%
• Security Professional 33%
• Context Problem 33%
• Open Source Community 33%
• Learning Platform 33%
• Application Developer 33%
• Support Vector Machine 33%
• Neural Network 33%
• Experimental Result 33%
• Logistic Regression 33%
• Network Support 33%

INIS

• detection 100%
• machine learning 100%
• intrusion 100%
• performance 80%
• applications 80%
• algorithms 40%
• security 40%
• communities 20%
• data 20%
• buffers 20%
• environment 20%
• vectors 20%
• forests 20%
• neural networks 20%
• metrics 20%
• datasets 20%
• developers 20%
• vulnerability 20%