Behavioral classification and detection of malware through HTTP user agent anomalies.
Nizar KheirPublished in: J. Inf. Secur. Appl. (2013)
Keyphrases
- anomaly detection
- classification accuracy
- decision trees
- robust detection
- pattern recognition
- agent model
- automatic detection
- conversational agent
- user profiles
- multi agent
- multi agent systems
- feature vectors
- feature selection
- user interaction
- open source
- image classification
- mobile agents
- detection algorithm
- digital mammograms
- end users
- user interface
- machine learning
- support vector
- feature extraction
- neural network
- supervised learning
- decision making
- malware detection
- current situation
- website
- human users
- agent technology
- reverse engineering
- network traffic
- software agents
- autonomous agents
- intelligent agents
- user preferences
- training set
- support vector machine svm