Hybrid Framework for Addressing Class Imbalance and Network Traffic Classification Using Machine Learning
There is a need for more research on network traffic classification as it is useful in cybersecurity, intrusion detection, and network management. However, on a real-world level, datasets that record network traffic contain high bias as they reflect a disproportionate number of traffic attacks and a surplus of routine...