The detection of low-rate DoS attacks using the SADBSCAN algorithm
The detection of low-rate DoS attacks using the SADBSCAN algorithm
Dan Tang,Siqi Zhang,Jingwen Chen,Xiyin Wang
2021 · DOI: 10.1016/J.INS.2021.02.038
Information Sciences · 24 Citations
TLDR
A new low-rate DoS attack detection scheme based on the self-adaptive density-based spatial clustering of applications with noise (SADBSCAN) algorithm, which improves the detection accuracy, reduces the false negative rate, and can be adapted to large-scale complex network environments.
