MP-GUARD: A novel multi-pronged intrusion detection and mitigation framework for scalable SD-IoT networks using cooperative monitoring, ensemble learning, and new P4-extracted feature set.
Ameer El-SayedWael SaidAmr TolbaYasser AlginahiAhmed A. ToonyPublished in: Comput. Electr. Eng. (2024)
Keyphrases
- intrusion detection
- feature set
- ensemble learning
- random forest
- intrusion detection system
- anomaly detection
- feature selection
- network security
- base classifiers
- network traffic
- feature space
- feature vectors
- computer networks
- data sets
- generalization ability
- machine learning methods
- classification accuracy
- feature extraction
- database
- data mining techniques
- semi supervised
- computer vision
- data mining
- real world