Quantifying the impact of adversarial evasion attacks on machine learning based android malware classifiers.
Zainab AbaidMohamed Ali KâafarSanjay JhaPublished in: NCA (2017)
Keyphrases
- machine learning
- detect malicious
- countermeasures
- machine learning algorithms
- malware detection
- machine learning methods
- decision trees
- machine learning approaches
- feature selection
- supervised classification
- training data
- detecting malicious
- support vector
- support vector machine
- svm classifier
- inductive learning
- learning algorithm
- data mining
- training set
- test set
- pattern recognition
- linear classifiers
- supervised learning
- ensemble learning
- feature set
- information security
- learning tasks
- training examples
- classification algorithm
- malicious code
- learning classifier systems
- roc analysis
- naive bayes
- multi agent
- attack scenarios
- attack detection
- class labels
- anomaly detection
- active learning
- mobile applications
- natural language processing