Detection and Defense Mechanism of LDoS Attack in SDN Environment

Autor: YAN Tong, BAI Zhihua, GAO Zhen, YAN Lina, ZHOU Lei
Jazyk: čínština
Rok vydání: 2020
Předmět:
Zdroj: Jisuanji kexue yu tansuo, Pp 566-577 (2020)
Druh dokumentu: article
ISSN: 1673-9418
DOI: 10.3778/j.issn.1673-9418.1905043
Popis: Low-rate denial of service (LDoS) attack is a new type of network attack, which is characterized by low attack cost and strong concealment. As a new type of network architecture, software defined network (SDN) is also threatened by LDoS attacks. The control and forwarding separation of the SDN network and the programmable net-work behavior provide new ideas for the detection and defense of LDoS attacks. This paper proposes a new LDoS attack detection and defense method based on OpenFlow protocol. The rate of each OpenFlow data stream is separately counted, and the double-sliding-window method in signal detection is used to detect the attack traffic. Once the attack traffic is detected, the controller can implement real-time defense against the attack behavior by sending a flow table. Experi-ments show that this method can effectively detect LDoS attacks and can defend against LDoS attacks in a short time.
Databáze: Directory of Open Access Journals