Name
Abstract | ||
|---|---|---|
Distributed denial of service (DDoS) flooding attacks are one of the main methods to destroy the availability of critical online services today. These DDoS attacks cannot be prevented ahead of time, and once in place, they overwhelm the victim with huge volume of traffic and render it incapable of performing normal communication or crashes it completely. Any delays in detecting the flooding attacks completely halts the network services. With the rapid increase of DDoS volume and frequency, the new generation of DDoS detection mechanisms are needed to deal with huge attack volume in reasonable and affordable response time. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1186/s13635-018-0081-z | Eurasip Journal on Information Security |
Keywords | Field | DocType |
DDoS, Flooding attacks, DDoS detection, Hadoop | Denial-of-service attack,Computer security,Computer science,Response time,Testbed,Internet Control Message Protocol,Commodity hardware | Journal |
Volume | Issue | ISSN |
2018 | 1 | 2510-523X |
Citations | PageRank | References |
3 | 0.39 | 20 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| sufian hameed | 1 | 18 | 4.03 |
| Usman Murad Ali | 2 | 3 | 0.39 |