Name
Abstract | ||
|---|---|---|
The analysis of packet payload is mandatory for network security and traffic monitoring applications. The computational cost of this activity pushed the industry towards hardware-assisted deep packet inspection (DPI) that have the disadvantage of being more expensive and less flexible. This paper covers the design and implementation of a new DPI framework using FastFlow, a skeleton-based parallel programming library targeting efficient streaming on multi-core architectures. The experimental results demonstrate the efficiency of the DPI framework proposed, proving the feasibility to perform 10Gbit DPI analysis using modern commodity hardware. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.3233/978-1-61499-381-0-92 | Advances in Parallel Computing |
Keywords | Field | DocType |
Network streaming,NetFlow,DPI,FastFlow,multi-core | Deep packet inspection,Computer science,Network packet,Network security,Commodity hardware,Payload,Embedded system | Conference |
Volume | ISSN | Citations |
25 | 0927-5452 | 3 |
PageRank | References | Authors |
0.52 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marco Danelutto | 1 | 1181 | 127.77 |
| Luca Deri | 2 | 292 | 32.98 |
| D. De Sensi | 3 | 10 | 1.21 |
| Massimo Torquati | 4 | 433 | 46.72 |