Identification of vulnerable parts of web applications based on anomaly detection in HTTP.
Rastislav SzabóLadislav HudecPublished in: CompSysTech (2013)
Keyphrases
- web applications
- anomaly detection
- application development
- intrusion detection
- network traffic
- detecting anomalies
- anomalous behavior
- network intrusion detection
- web services
- network anomaly detection
- intrusion detection system
- open source
- one class support vector machines
- end users
- detecting anomalous
- web browser
- detect anomalies
- web application development
- unsupervised learning
- web development
- machine learning
- negative selection algorithm
- network security
- data model
- learning algorithm