Evaluation of anomaly-based IDS for mobile devices using machine learning classifiers.
Dimitrios DamopoulosSofia-Anna MenesidouGeorgios KambourakisMaria PapadakiNathan L. ClarkeStefanos GritzalisPublished in: Secur. Commun. Networks (2012)
Keyphrases
- machine learning
- mobile devices
- machine learning methods
- decision trees
- machine learning algorithms
- intrusion detection
- machine learning approaches
- feature selection
- anomaly detection
- computer vision
- supervised classification
- mobile phone
- support vector
- location based services
- learning classifier systems
- natural language processing
- intrusion detection system
- data mining
- inductive learning
- mobile users
- text classification
- pattern recognition
- training data
- context aware
- learning problems
- classification models
- information extraction
- mobile computing
- artificial intelligence
- data sets