Automated software vulnerability detection with machine learning.
Jacob A. HarerLouis Y. KimRebecca L. RussellOnur OzdemirLeonard R. KostaAkshay RangamaniLei H. HamiltonGabriel I. CentenoJonathan R. KeyPaul M. EllingwoodMarc W. McConleyJeffrey M. OpperSang Peter ChinTomo LazovichPublished in: CoRR (2018)
Keyphrases
- machine learning
- automatic detection
- semi automated
- software development
- software systems
- automated analysis
- software tools
- data mining
- decision trees
- false alarms
- user interface
- software architecture
- software package
- fully automated
- detection method
- detection rate
- risk assessment
- false positives
- hardware design
- learning systems
- neural network
- detection algorithm
- machine learning algorithms
- artificial intelligence
- information systems
- security risks
- computer vision
- feature selection
- software design
- reinforcement learning
- detection accuracy
- pattern recognition
- knowledge representation
- software engineering
- open source
- source code
- event detection
- text classification
- anomaly detection