Defending Model for DDoS Attacks Based on Fuzzy Model Recognision
Ya Xiong · Computing Technology and Automation · 2007
The fuzzy way tends to be more realistic and provides with more information in area of decision-making.Fuzzy patterns recognition is a technology based fuzzy sets.The packets on the network can be divided into some fuzzy sets.A schema of intrusion detection and defending based fuzzy patterns recognition is proposed.The model has two fuzzy sets(normal packets and abnormal packets),and filtering the abnormal packets by analyzing the fuzzy similarity of normal set and abnormal set.The schema is self-adaptive and self-learning.