TY - GEN
T1 - Range hash for regular expression pre-filtering
AU - Bando, Masanori
AU - Artan, N. Sertac
AU - Wei, Rihua
AU - Guo, Xiangyi
AU - Chao, H. Jonathan
PY - 2010
Y1 - 2010
N2 - Recently, major Internet carriers and vendors successfully tested high-speed backbone networks at 100-Gbps line speed to support rapid growth of the Internet traffic demands. In addition, traffic is getting more concentrated to points such as data centers, and demand for protecting such high-speed networks from attack traffic is increasing. Deep Packet Inspection (DPI) with Regular Expression (RegEx) detection is the de facto defense mechanism agains network intrusions. However, current RegEx detection systems cannot keep up with the upcoming high-speed line rate. The RegExes consist of three types of components, exact strings, character classes (CC), and repetitions. Exact string and repetition matching have been widely studied by RegEx research community for better performance. Yet, although more than 55% of RegExes in Snort signature set contain at least one CC, hardware based solutions that focus on CC detection is limited. In this paper we propose a new CC detection architecture called Range Hash that is suitable for high-speed, compact CC detection. Additionally, we propose a practical application of the Range Hash architecture where it can be used as a pre-filter for a Regular Expression detection system to increase overall RegEx detection performance. Based on our hardware prototype design which runs at 250MHz, Range Hash can reach to 100-Gbps CC detection throughput with today's FPGA chips.
AB - Recently, major Internet carriers and vendors successfully tested high-speed backbone networks at 100-Gbps line speed to support rapid growth of the Internet traffic demands. In addition, traffic is getting more concentrated to points such as data centers, and demand for protecting such high-speed networks from attack traffic is increasing. Deep Packet Inspection (DPI) with Regular Expression (RegEx) detection is the de facto defense mechanism agains network intrusions. However, current RegEx detection systems cannot keep up with the upcoming high-speed line rate. The RegExes consist of three types of components, exact strings, character classes (CC), and repetitions. Exact string and repetition matching have been widely studied by RegEx research community for better performance. Yet, although more than 55% of RegExes in Snort signature set contain at least one CC, hardware based solutions that focus on CC detection is limited. In this paper we propose a new CC detection architecture called Range Hash that is suitable for high-speed, compact CC detection. Additionally, we propose a practical application of the Range Hash architecture where it can be used as a pre-filter for a Regular Expression detection system to increase overall RegEx detection performance. Based on our hardware prototype design which runs at 250MHz, Range Hash can reach to 100-Gbps CC detection throughput with today's FPGA chips.
KW - Pre-Filter
KW - Range
KW - Range matching
KW - Regular expressions
UR - http://www.scopus.com/inward/record.url?scp=78650426575&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650426575&partnerID=8YFLogxK
U2 - 10.1145/1872007.1872032
DO - 10.1145/1872007.1872032
M3 - Conference contribution
AN - SCOPUS:78650426575
SN - 9781450303798
T3 - ANCS 2010 - Proceedings of the 6th ACM/IEEE Symposium on Architectures for Networking and Communications Systems
BT - ANCS 2010 - Proceedings of the 6th ACM/IEEE Symposium on Architectures for Networking and Communications Systems
PB - IEEE Computer Society
ER -