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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

Puni tekst: engleski, pdf (405 KB) str. 33-39 preuzimanja: 602* citiraj
APA 6th Edition
Gupta, B.B. (2012). Predicting Number of Zombies in DDoS Attacks Using Pace Regression Model. Journal of computing and information technology, 20 (1), 33-39. https://doi.org/10.2498/cit.1001840
MLA 8th Edition
Gupta, B. B.. "Predicting Number of Zombies in DDoS Attacks Using Pace Regression Model." Journal of computing and information technology, vol. 20, br. 1, 2012, str. 33-39. https://doi.org/10.2498/cit.1001840. Citirano 02.03.2021.
Chicago 17th Edition
Gupta, B. B.. "Predicting Number of Zombies in DDoS Attacks Using Pace Regression Model." Journal of computing and information technology 20, br. 1 (2012): 33-39. https://doi.org/10.2498/cit.1001840
Harvard
Gupta, B.B. (2012). 'Predicting Number of Zombies in DDoS Attacks Using Pace Regression Model', Journal of computing and information technology, 20(1), str. 33-39. https://doi.org/10.2498/cit.1001840
Vancouver
Gupta BB. Predicting Number of Zombies in DDoS Attacks Using Pace Regression Model. Journal of computing and information technology [Internet]. 2012 [pristupljeno 02.03.2021.];20(1):33-39. https://doi.org/10.2498/cit.1001840
IEEE
B.B. Gupta, "Predicting Number of Zombies in DDoS Attacks Using Pace Regression Model", Journal of computing and information technology, vol.20, br. 1, str. 33-39, 2012. [Online]. https://doi.org/10.2498/cit.1001840

Sažetak
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.

Ključne riječi
DDoS attack; intrusion detection; pace regression; zombies; entropy

Hrčak ID: 84064

URI
https://hrcak.srce.hr/84064

Posjeta: 849 *