A Simulation Platform of DDoS Attack Based on Network Processor

Abstract

Due to the rapid spread of botnets distributed denial of service attacks have become more and more frequent and fatal. Many researches have been done in the virtual environment to detect and defend such attacks. But a data flow is essentially needed to verify these researches in a real environment. This paper proposes a simulation platform of distributed denial of service attacks based on network processor. The fractal Brownian motion model is introduced to generate attack flow with the characteristic of self-similarity. A transmission control mechanism based on micro-engine is presented to reduce the error of output data flow¿s Hurst parameter. Experiment results show that the model can generate a high speed self-similar attack flow with controllable Hurst parameter, and different kinds of traffic in the flow can be accurately transmitted as configured.