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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gupta, B. B. Joshi, R. C. Misra, Manoj |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Computer Science & Engineering, Graphic Era University, Dehradun (Gupta, B. B.) || Department of Electronics and Computer Engineering, Indian Institute of Technology Roorkee (Joshi, R. C.; Misra, Manoj) |
| 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 very less error rate. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 275422 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424490721 |
| e-ISBN | 9781424490745 |
| DOI | 10.1109/INDCON.2010.5712617 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-17 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Analytical models DDoS attack Computational modeling Pace regression Zombies Intrusion detection Predictive models Entropy Internet Topology Computer crime |
| Content Type | Text |
| Resource Type | Article |
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