Anomaly Detection IDS for Detecting DoS Attacks in IoT Networks Based on Machine Learning Algorithms.
Esra AltulaihanMohammed Amin AlmaiahAhmed Al GuqhaimanPublished in: Sensors (2024)
Keyphrases
- machine learning algorithms
- anomaly detection
- network security
- dos attacks
- intrusion detection system
- intrusion detection
- detecting anomalies
- computer networks
- denial of service
- misuse detection
- detecting anomalous
- benchmark data sets
- denial of service attacks
- network traffic
- machine learning
- network intrusion detection
- detect anomalies
- learning algorithm
- decision trees
- learning problems
- machine learning methods
- anomalous behavior
- social networks
- lightweight
- negative selection algorithm
- network anomaly detection
- one class support vector machines
- normal behavior
- data mining
- network intrusion
- information systems
- network structure
- reinforcement learning
- unsupervised learning
- cloud computing
- data sets
- transfer learning
- normal traffic
- mobile agents