Large-scale machine learning-based malware detection: confronting the "10-fold cross validation" scheme with reality.
Kevin AllixTegawendé F. BissyandéQuentin JéromeJacques KleinRadu StateYves Le TraonPublished in: CODASPY (2014)
Keyphrases
- fold cross validation
- malware detection
- machine learning
- support vector machine
- random forest
- feature selection
- logistic regression
- malicious executables
- anomaly detection
- machine learning algorithms
- data sets
- learning algorithm
- data mining
- knowledge discovery
- information extraction
- support vector
- pattern recognition
- supervised learning
- application programming interface
- neural network
- amino acid composition
- third party
- svm classifier
- support vector machine svm
- model selection
- computer vision