Abstract
This paper presents a novel scheme to estimate strength of a DDoS attack using polynomial regression model. To estimate strength of attack, a relationship is established between strength of attack and observed deviation in sample entropy. Various statistical performance measures are used to evaluate the performance of the polynomial regression models. NS-2 network simulator on Linux platform is used as simulation test bed for launching DDoS attacks with varied attack strength. The simulation results are promising as we are able to estimate strength of DDoS attack efficiently.
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© 2011 Springer-Verlag Berlin Heidelberg
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Gupta, B.B., Agrawal, P.K., Mishra, A., Pattanshetti, M.K. (2011). On Estimating Strength of a DDoS Attack Using Polynomial Regression Model. In: Abraham, A., Mauri, J.L., Buford, J.F., Suzuki, J., Thampi, S.M. (eds) Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science, vol 193. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22726-4_26
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DOI: https://doi.org/10.1007/978-3-642-22726-4_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22725-7
Online ISBN: 978-3-642-22726-4
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