Prediction of Number of Zombies in a DDoS Attack using Polynomial Regression Model
Brij Bhooshan Gupta, Ramesh Chander Joshi, Manoj Kumar Misra · Journal of Advances in Information Technology · 2011
A DDoS attacker attempts to disrupt a target, by flooding it with illegitimate packets which are generated from a large number of zombies, usurping its bandwidth and overtaxing it to prevent legitimate inquiries from getting through. This paper reports the evaluation results of proposed approach that is used to predict number of zombies using Pace Regression Model. A relationship is established between number of zombies and observed deviation in sample entropy. Various statistical perfor-mance measures, such as R2, CC, SSE, MSE, RMSE, NMSE, η, MAE are used to measure the performance of the regressionmodel. Network topologies similar to Inter-net used for simulation are generated using Transit-Stub model of GT-ITM topology generator. NS-2 network simulator on Linux platform is used as simulation test bed for launching DDoS attacks with varied number of zombies. The simulation results are promising as we are able to predict number of zombies efficiently using Pace Regression Model with considerably less error rate.