| Title | A Link Flooding Attack Detection Method based on Non-Cooperative Active Measurement |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Wang, Xin, Ma, Xiaobo, Qu, Jian |
| Conference Name | 2021 8th International Conference on Dependable Systems and Their Applications (DSA) |
| Keywords | attack detection, Chained Attacks, DDoS Attack, denial-of-service attack, Floods, Indexes, Interference, network measurement, non-cooperative, Protocols, pubcrawl, Resiliency, Routing, Scalability, Time measurement |
| Abstract | In recent years, a new type of DDoS attacks against backbone routing links have appeared. They paralyze the communication network of a large area by directly congesting the key routing links concerning the network accessibility of the area. This new type of DDoS attacks make it difficult for traditional countermeasures to take effect. This paper proposes and implements an attack detection method based on non-cooperative active measurement. Experiments show that our detection method can efficiently perceive changes of network link performance and assist in identifying such new DDoS attacks. In our testbed, the network anomaly detection accuracy can reach 93.7%. |
| DOI | 10.1109/DSA52907.2021.00026 |
| Citation Key | wang_link_2021 |
A Link Flooding Attack Detection Method based on Non-Cooperative Active Measurement