DDoS attack model with detection accuracy feedback mechanism

Abstract:
Due to the lack of pertinence to specific types of attacks in the existing models, a kind of model specially suitable for DDoS attacks is constructed based on the malicious behavior knowledge base with feedback mechanism. Based on the classical SIR model, the model introduces the actual attack stage of DDoS attack, and the detection accuracy feedback mechanism can continuously improve the detection accuracy of the model and effectively control the scale of DDoS attack. The equilibrium point of the new model is calculated, and the propagation threshold of the model is obtained by the next generation matrix theory. Then the local stability and global stability of the equilibrium point of the model are proved by Routh-Hurwitz criterion and Lyapunov function. The experimental results show that constructing a DDoS attack model with feedback mechanism can more effectively resist DDoS attacks by improving its own detection ability.