Defending Malicious Script Attacks Using Machine Learning Classifiers.
Nayeem KhanJohari AbdullahAdnan Shahid KhanPublished in: Wirel. Commun. Mob. Comput. (2017)
Keyphrases
- machine learning
- machine learning algorithms
- malicious attacks
- malicious users
- machine learning methods
- decision trees
- detect malicious
- ddos attacks
- detecting malicious
- machine learning approaches
- malicious behavior
- supervised classification
- malicious code
- feature selection
- insider attacks
- support vector
- learning algorithm
- malicious activities
- training data
- naive bayes
- learning problems
- learning classifier systems
- text mining
- natural language processing
- training examples
- active learning
- pattern recognition
- countermeasures
- normal traffic
- malicious traffic
- roc analysis
- multiple classifier systems
- semi fragile watermarking
- linear classifiers
- learning tasks
- test set
- model selection
- wireless sensor networks
- training set
- static analysis
- watermarking scheme
- ensemble learning
- classification models
- inductive learning
- classification algorithm
- learning systems
- information extraction
- data mining