Abstract | ||
---|---|---|
We present a design and implementation of a high-throughput deep packet inspection performing both stream categorization and intrusion detection on GPU platform using CUDA. This implementation is capable of matching 64 ethernet packet streams against 25 given regular expressions at 524 Mb/s rate on a computer system with GeForce GTX 295 graphic card. |
Year | DOI | Venue |
---|---|---|
2010 | 10.1109/MEMCOD.2010.5558648 | Formal Methods and Models for Codesign |
Keywords | Field | DocType |
computer network security,coprocessors,local area networks,CUDA,GPU,GeForce GTX 295 graphic card,computer system,ethernet packet streams,high-throughput deep packet inspection,high-throughput stream categorization,intrusion detection,CUDA,deep packet inspection,high-throughput,intrusion detection system | Deep packet inspection,Computer science,CUDA,Network packet,Real-time computing,Ethernet,Throughput,Coprocessor,Graphics processing unit,Intrusion detection system | Conference |
ISBN | Citations | PageRank |
978-1-4244-7886-6 | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mohammad Hassan Khabbazian | 1 | 0 | 0.34 |
Hassan Eslami | 2 | 5 | 1.79 |
Ehsan Totoni | 3 | 74 | 7.77 |
AmadReza Khadem | 4 | 0 | 0.34 |