Android malware detection: Investigating the impact of imbalanced data-sets on the performance of machine learning models.
Zakaria SawadogoGervais MendyJean Marie DembeleSamuel OuyaPublished in: ICACT (2022)
Keyphrases
- malware detection
- machine learning models
- imbalanced data sets
- machine learning approaches
- anomaly detection
- machine learning algorithms
- spam filtering
- benchmark data sets
- class distribution
- imbalanced data
- concept learning
- machine learning
- data sets
- learning models
- rare events
- learning algorithm
- roc curve
- graphical models
- predictive model
- minority class
- bayesian networks
- decision trees