DocumentCode
3322745
Title
More Accurate and Fast SYN Flood Detection
Author
Sun, Changhua ; Hu, Chengchen ; Tang, Yi ; Liu, Bin
Author_Institution
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
fYear
2009
fDate
3-6 Aug. 2009
Firstpage
1
Lastpage
6
Abstract
SYN flood attacks still dominate distributed denial of service attacks. It is a great challenge to accurately detect the SYN flood attacks in high speed networks. An intelligent attacker would evade the public detection methods by suitably spoofing the attack to pretend to be benign. Keeping per-flow or per-connection state could eliminate such a spoofing, but meanwhile, it also consumes extremely huge resources. We propose a more accurate and fast SYN flood detection method, named SACK2, which could detect all kinds of SYN flood attacks with limited implementation costs. SACK2 exploits the behavior of the SYN/ACK-CliACK pair to identify the victim server and the TCP port being attacked, where a SYN/ACK packet is sent by a server when receiving a connection request and a CliACK packet is the ACK packet sent by the client to complete the three-way handshake. We utilize the space efficient data structure, counting Bloom filter, to recognize the CliACK packet. Comprehensive experiments demonstrate that, SACK2 is the fastest and most accurate detection method compared with related methods which also leverage the packet pair´s behavior. The memory cost of SACK2 for a 10 Gbps link is 364 KB and can be easily accommodated in modern routers.
Keywords
data structures; security of data; transport protocols; Bloom filter; SACK2; SYN flood attack detection; SYN/ACK-CliACK; TCP port; distributed denial of service attacks; public detection methods; routers; space efficient data structure; three-way handshake; victim server; Computer crime; Computer science; Costs; Data structures; Floods; High-speed networks; Network servers; Protocols; Sun; Web and internet services;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Communications and Networks, 2009. ICCCN 2009. Proceedings of 18th Internatonal Conference on
Conference_Location
San Francisco, CA
ISSN
1095-2055
Print_ISBN
978-1-4244-4581-3
Electronic_ISBN
1095-2055
Type
conf
DOI
10.1109/ICCCN.2009.5235270
Filename
5235270
Link To Document