Original scientific paper
https://doi.org/10.2498/cit.1001840
Predicting Number of Zombies in DDoS Attacks Using Pace Regression Model
B. B. Gupta
; University of New Brunswick, Canada andDepartment of Electronics and Computer Engineering, Indian Institute of Technology Roorkee, India
Abstract
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 performance measures, such as R2, CC, SSE, MSE, RMSE, NMSE, η, MAE are used to measure the performance of the regression model. Network topologies similar to Internet 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.
Keywords
DDoS attack; intrusion detection; pace regression; zombies; entropy
Hrčak ID:
84064
URI
Publication date:
30.3.2012.
Visits: 1.339 *