DDoS Attack Detection Based on SNMP and Neural Network
LU Le-bin · Communications technology · 2009
Distributed Denial of service(DDoS)attack is a major threat to the security of computer network.It is a challenge to detecting DDoS attack in real-time.The key is to find the difference between normal stream and attack stream and identify it with simple algorithm.By analyzing characteristics of DDoS attack,15 detecting signatures based on SNMP are summarized.A detecting model,which takes advantage of BP neural network calculation performance in intrusion detection,is proposed in this paper.And computer simulations show that this model could effectively detect many kinds of DDoS attacks.