Automatic detection and correction of web application vulnerabilities using data mining to predict false positives.
Iberia MedeirosNuno Ferreira NevesMiguel CorreiaPublished in: WWW (2014)
Keyphrases
- automatic detection
- false positives
- web applications
- data mining
- false negative
- business applications
- false positive rate
- application development
- number of false positives
- web browser
- detection rate
- web services
- automatically detecting
- data mining techniques
- application developers
- true positive
- low false positive rate
- end users
- web application development
- mashup
- intrusion detection
- web interface
- learning rails
- sql injection
- web development
- false alarms
- software architecture
- software engineering
- model view controller
- user interface
- knowledge base
- flow diagram
- artificial intelligence