Name
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. |
Year | Venue | Field |
|---|---|---|
2015 | ICICS | CUSUM,Sliding window protocol,Denial-of-service attack,Computer science,Real-time computing,Conditional entropy,Intrusion detection system,Distributed computing |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
6 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Degang Sun | 1 | 2 | 7.53 |
| Kun Yang | 2 | 1 | 3.06 |
| Wei-qing Huang | 3 | 6 | 4.85 |
| Yan Wang | 4 | 5 | 1.58 |
| Bo Hu | 5 | 161 | 27.21 |