Transcend: Detecting Concept Drift in Malware Classification Models.
Roberto JordaneyKumar SharadSantanu Kumar DashZhi WangDavide PapiniIlia NouretdinovLorenzo CavallaroPublished in: USENIX Security Symposium (2017)
Keyphrases
- classification models
- concept drift
- data streams
- models built
- streaming data
- drift detection
- ensemble classifier
- non stationary
- drifting concepts
- training data
- decision trees
- change detection
- data stream classification
- classification algorithm
- data distribution
- feature selection
- feature set
- class imbalance
- machine learning
- feature space
- genetic algorithm