Research Article
Statistical Properties and Modelling of DDoS Attacks
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@INPROCEEDINGS{10.1007/978-3-030-67101-3_4, author={Pheeha Machaka and Antoine Bagula}, title={Statistical Properties and Modelling of DDoS Attacks}, proceedings={Context-Aware Systems and Applications, and Nature of Computation and Communication. 9th EAI International Conference, ICCASA 2020, and 6th EAI International Conference, ICTCC 2020, Thai Nguyen, Vietnam, November 26--27, 2020, Proceedings}, proceedings_a={ICCASA \& ICTCC}, year={2021}, month={1}, keywords={DDoS EWMA CUSUM Attack modelling Probability fitting}, doi={10.1007/978-3-030-67101-3_4} }- Pheeha Machaka
Antoine Bagula
Year: 2021
Statistical Properties and Modelling of DDoS Attacks
ICCASA & ICTCC
Springer
DOI: 10.1007/978-3-030-67101-3_4
Abstract
The work presented in this paper is an implementation of a design of a DDoS simulation testbed that uses parameter estimation and probability fitting of source IP address features of a network. We explored the issue of lack of adequate and recent evaluation datasets, we therefore designed a way that can be used to generate synthetic data that simulates a DDoS attack. We found that the Gaussian probability distribution best represents the normal operations of a network, while the Poisson probability distribution represents the operations of a network under a DDoS attack.
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