An efficient approach to detect IoT botnet attacks using machine learning.
Zainab Al-OthmanMouhammd AlkasassbehSherenaz W. Al-Haj BaddarPublished in: J. High Speed Networks (2020)
Keyphrases
- machine learning
- distributed denial of service attacks
- ddos attacks
- denial of service attacks
- detection method
- security problems
- management system
- network attacks
- data mining
- automatic detection
- countermeasures
- text classification
- natural language processing
- data analysis
- pattern recognition
- detecting malicious
- normal traffic
- feature selection
- learning algorithm
- network traffic
- misuse detection
- machine learning algorithms
- machine learning methods
- computer vision
- normal behavior
- explanation based learning
- learning systems
- machine learning approaches
- watermarking scheme
- learning tasks
- anomaly detection
- knowledge acquisition
- text mining
- reinforcement learning
- watermarking algorithm
- detection algorithm
- security protocols
- spam filters
- cloud computing
- peer to peer
- computational intelligence
- support vector machine
- artificial intelligence