Could we beat a new mimicking attack?
Degang Sun, Kun Yang, Bin Lv, Zhixin Shi · 2017
Flooding DDoS and Flash Crowds (FC) are difficult to be discriminated from network layer because both of them have too many statistical similarities. If attacker learnt those statistical difference and could produce some mimicking traffic which have little difference from traffic produced by legitimate uses in FC, which means existing methods will uselessness. In order to verify the existence of this possibility, this paper proposes an idea that employed Least Squares Generative Adversarial Networks (LSGANs) to generate mimicking traffic to make the defense system uselessness. By experiments evaluated, the proposed idea could mimicking traffic to fool the defense system. The proposed idea mainly focuses on traffic statistical information of each Bot and legitimate user, does not rely on network environments, so the possibility of this mimicking attack happened could be existed in other networks, such as wired network, wireless network and mobile network.