A Two-Fold Machine Learning Approach to Prevent and Detect IoT Botnet Attacks.
Faisal HussainSyed Ghazanfar AbbasIvan Miguel PiresSabeeha TanveerUbaid U. FayyazNuno M. GarciaGhalib A. ShahFarrukh ShahzadPublished in: IEEE Access (2021)
Keyphrases
- machine learning
- distributed denial of service attacks
- ddos attacks
- denial of service attacks
- normal traffic
- network traffic
- machine learning algorithms
- detection method
- text classification
- security problems
- automatic detection
- machine learning methods
- knowledge acquisition
- management system
- network attacks
- detect malicious
- detection algorithm
- malicious users
- detecting malicious
- data mining
- countermeasures
- watermarking scheme
- network anomaly detection
- big data
- artificial intelligence
- cloud computing
- knowledge representation
- active learning
- pattern recognition
- decision trees
- learning algorithm
- learning systems
- location information
- peer to peer
- network intrusion detection
- data management
- natural language processing
- traffic analysis
- digital images
- support vector machine
- feature selection