Machine Learning for Web Vulnerability Detection: The Case of Cross-Site Request Forgery.
Stefano CalzavaraMauro ContiRiccardo FocardiAlvise RabittiGabriele TolomeiPublished in: IEEE Secur. Priv. (2020)
Keyphrases
- machine learning
- website
- web pages
- false positives
- home page
- detection accuracy
- semantic web
- web data
- computer vision
- web content
- decision trees
- web mining
- end users
- digital images
- detection algorithm
- object detection
- detection method
- link analysis
- text classification
- web applications
- computer science
- artificial intelligence
- information sources
- false alarms
- explanation based learning
- spam detection
- open directory project
- web users
- web documents
- anomaly detection
- natural language processing
- knowledge discovery
- pattern recognition
- learning algorithm
- information retrieval