Detecting and Measuring In-The-Wild DRDoS Attacks at IXPs
Detecting and Measuring In-The-Wild DRDoS Attacks at IXPs
复制标题
检测和测量 IXP 上的野外 DRDoS 攻击
DOI:
10.1007/978-3-030-80825-9_3
复制
发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Konte, Maria
中科院分区:
文献类型:
--
作者:
Subramani, Karthika;Perdisci, Roberto;Konte, Maria
Distributed reflective denial of service (DRDoS) attacks are a popular choice among adversaries. In fact, one of the largest DDoS attacks ever recorded, reaching a peak of 1.3Tbps against GitHub, was a memcached-based DRDoS attack. More recently, a record-breaking 2.3Tbps attack against Amazon AWS was due to a CLDAP-based DRDoS attack. Although reflective attacks have been known for years, DRDoS attacks are unfortunately still popular and largely unmitigated. In this paper, we study in-the-wild DRDoS attacks observed from a large Internet exchange point (IXP) and provide a number of security-relevant measurements and insights. To enable this study, we first developed IXmon, an open-source DRDoS detection system specifically designed for deployment at large IXP-like network connectivity providers and peering hubs. We deployed IXmon at Southern Crossroads (SoX), an IXP-like hub that provides both peering and upstream Internet connectivity services to more than 20 research and education (R&E) networks in the South-East United States. In a period of about 21 months, IXmon detected more than 900 DRDoS attacks towards 31 different victim ASes. An analysis of the real-world DRDoS attacks detected by our system shows that most DRDoS attacks are short lived, lasting only a few minutes, but that large-volume, long-lasting, and highly-distributed attacks against R&E networks are not uncommon. We then use the results of our analysis to discuss possible attack mitigation approaches that can be deployed at the IXP level, before the attack traffic overwhelms the victim's network bandwidth.
影响因子:
11.2
作者:
Marco Chiesa;C. Dietzel;G. Antichi;M. Bruyère;Ignacio Castro;M. Gusat;Thomas King;A. Moore;Thanh Dang Nguyen;P. Owezarski;S. Uhlig;Marco Canini
通讯作者:
Marco Canini
DOI:
10.1145/2541468.2541473
发表时间:
2013-11
期刊:
Comput. Commun. Rev.
影响因子:
--
作者:
N. Chatzis;Georgios Smaragdakis;A. Feldmann;W. Willinger
通讯作者:
N. Chatzis;Georgios Smaragdakis;A. Feldmann;W. Willinger
DOI:
--
发表时间:
2021
期刊:
Passive and Active Network Measurement Conference
影响因子:
--
作者:
Daniel Kopp;C. Dietzel;O. Hohlfeld
通讯作者:
O. Hohlfeld