High Performance DDoS Attack Detection System Based on Distribution Statistics - Network and Parallel Computing Access content directly
Conference Papers Year : 2019

High Performance DDoS Attack Detection System Based on Distribution Statistics

Abstract

Nowadays, web servers often face the threat of distributed denial of service attacks and their intrusion prevention systems cannot detect those attacks effectively. Many existing intrusion prevention systems detect attacks by the state of per-flow and current processing speed cannot fulfill the requirements of real-time detection due to the high speed traffic. In this paper, we propose a powerful system TreeSketchShield which can improve sketch data structure and detect attacks quickly. First, we discuss a novel structure TreeSketch to obtain statistics of network flow, which utilizes the stepped structure of binary tree to map the distribution and reduces the complexity of the statistic calculation. Second, we present a two-level detection scheme that could make a compromise between the detection speed and detection accuracy. Experimental results show that our method can process more than 100,000 records per second. The false alarm rate can achieve 2% to 25% performance improvement.
Fichier principal
Vignette du fichier
486810_1_En_11_Chapter.pdf (1.32 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03770528 , version 1 (06-09-2022)

Licence

Attribution

Identifiers

Cite

Xia Xie, Jinpeng Li, Xiaoyang Hu, Hai Jin, Hanhua Chen, et al.. High Performance DDoS Attack Detection System Based on Distribution Statistics. 16th IFIP International Conference on Network and Parallel Computing (NPC), Aug 2019, Hohhot, China. pp.132-142, ⟨10.1007/978-3-030-30709-7_11⟩. ⟨hal-03770528⟩
16 View
70 Download

Altmetric

Share

Gmail Facebook X LinkedIn More