Defending SDN against packet injection attacks using deep learning. (arXiv:2301.08428v1 [cs.CR])

The (logically) centralised architecture of the software-defined networks
makes them an easy target for packet injection attacks. In these attacks, the
attacker injects malicious packets into the SDN network to affect the services
and performance of the SDN controller and overflow the capacity of the SDN
switches. Such attacks have been shown to ultimately stop the network
functioning in real-time, leading to network breakdowns. There have been
significant works on detecting and defending against similar DoS attacks in
non-SDN networks, …

architecture attacks deep learning defined injection injection attacks malicious network networks overflow packet packets performance sdn services software switches target