Para acceder a los documentos con el texto completo, por favor, siga el siguiente enlace:

Independent comparison of popular DPI tools for traffic classification
Bujlow, Tomasz; Carela Español, Valentín; Barlet Ros, Pere
Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors; Universitat Politècnica de Catalunya. CBA - Sistemes de Comunicacions de Banda Ampla
Deep Packet Inspection (DPI) is the state-of-the-art technology for traffic classification. According to the conventional wisdom, DPI is the most accurate classification technique. Consequently, most popular products, either commercial or open-source, rely on some sort of DPI for traffic classification. However, the actual performance of DPI is still unclear to the research community, since the lack of public datasets prevent the comparison and reproducibility of their results. This paper presents a comprehensive comparison of 6 well-known DPI tools, which are commonly used in the traffic classification literature. Our study includes 2 commercial products (PACE and NBAR) and 4 open-source tools (OpenDPI, L7-filter, nDPI, and Libprotoident). We studied their performance in various scenarios (including packet and flow truncation) and at different classification levels (application protocol, application and web service). We carefully built a labeled dataset with more than 750 K flows, which contains traffic from popular applications. We used the Volunteer-Based System (VBS), developed at Aalborg University, to guarantee the correct labeling of the dataset. We released this dataset, including full packet payloads, to the research community. We believe this dataset could become a common benchmark for the comparison and validation of network traffic classifiers. Our results present PACE, a commercial tool, as the most accurate solution. Surprisingly, we find that some open-source tools, such as nDPI and Libprotoident, also achieve very high accuracy.
Peer Reviewed
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
Telecommunication -- Traffic -- Management
Deep packet inspection
Telecomunicació -- Tràfic -- Gestió
Attribution-NonCommercial-NoDerivs 3.0 Spain

Mostrar el registro completo del ítem

Documentos relacionados

Otros documentos del mismo autor/a

Carela Español, Valentín; Bujlow, Tomasz; Barlet Ros, Pere
Bujlow, Tomasz; Carela Español, Valentín; Solé Pareta, Josep; Barlet Ros, Pere
Bujlow, Tomasz; Carela Español, Valentín; Solé Pareta, Josep; Barlet Ros, Pere
Molina Rodriguez, Juan; Carela Español, Valentín; Barlet Ros, Pere; Hoffmann, Ralf; Degner, Klaus
Carela Español, Valentín; Barlet Ros, Pere; Mulla Valls, Oriol; Solé Pareta, Josep