Abstract
DDoS attacks are very difficult to detect, researches have been in the pursuit of highly efficient and flexible DDoS attacks detection methods. For this purpose, we put forward an improved Non-parametric CUSUM method (NPCUSUM), which combined with adaptive sliding windows (ASW), to detect DDoS attacks. In order to evaluate our method, we do experiments on 2000 DARPA Intrusion Detection Scenario Specific Data Set (DARPA 2000 Dataset). The results show that the proposed method improves the detection efficiency and has good flexibility.
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CITATION STYLE
Sun, D., Yang, K., Huang, W., Wang, Y., & Hu, B. (2016). An improved NPCUSUM method with adaptive sliding window to detect DDoS attacks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9543, pp. 303–310). Springer Verlag. https://doi.org/10.1007/978-3-319-29814-6_25
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