With the development of network security research, intrusion detection systems based on
deep learning show great potential in network attack detection. As crucial tools for ensuring
network information security, these systems themselves are vulnerable to poisoning attacks
from attackers. Currently, most poisoning attack defense methods cannot effectively utilize
network traffic characteristics and are only effective for specific models, showing poor
defense results for other models. Furthermore, detection of poisoning attacks is often …