Add to ORKGAbstract—This paper aims to show the impact on classification accuracy and the level of computational gain that could be obtained in applying deep packet inspection on truncated peer to peer traffic flows instead of complete ones. Using one of the latest open source classifiers, experiments were conducted to evaluate classification performance on full and truncated network flows for different protocols, focusing on the detection of peer to peer. Despite minor exceptions, all the results show that with the latest deep packet inspection classifiers, which may incorporate different helper technologies, inspecting the first packets at the beginning of each flow, may still provide concrete computational gain while an acceptable level of classifi...
Managing high-bandwidth application traffic through identification of bandwidth-heavy Internet traff...
Network traffic classification plays a vital role in various network activities. Network traffic dat...
This paper proposes and analyzes the performance of a novel technique for the classification of Int...
Deep Packet Inspection (DPI) is the state-of-the-art technology for traffic classification. Accordin...
Deep Packet Inspection (DPI) is the state-of-the-art technology for traffic classification. Accordin...
Today, peer-to-peer (P2P) traffic consumes the largest fraction of network bandwidth. The files shar...
To manage and monitor their networks in a proper way, network operators are often interested in id...
This paper focuses on network traffic measurement of Peer-to-Peer (P2P) applications on the Internet...
Part 6: PhD Workshop: Monitoring and SecurityInternational audienceThis paper describes a protocol d...
Internet Traffic Classification aims at the identification of the Internet application that generate...
Internet Traffic Classification aims at the identification of the Internet application that generate...
Having a clear insight on the protocols carrying traffic is crucial for network applications....
The importance of network traffic classification has grown over the last two decades in line with th...
Peer-to-Peer IP Television (P2PTV) applications represent one of the fastest growing application cla...
The network have in the world highly congested channels and topology which was dynamically created w...
Managing high-bandwidth application traffic through identification of bandwidth-heavy Internet traff...
Network traffic classification plays a vital role in various network activities. Network traffic dat...
This paper proposes and analyzes the performance of a novel technique for the classification of Int...
Deep Packet Inspection (DPI) is the state-of-the-art technology for traffic classification. Accordin...
Deep Packet Inspection (DPI) is the state-of-the-art technology for traffic classification. Accordin...
Today, peer-to-peer (P2P) traffic consumes the largest fraction of network bandwidth. The files shar...
To manage and monitor their networks in a proper way, network operators are often interested in id...
This paper focuses on network traffic measurement of Peer-to-Peer (P2P) applications on the Internet...
Part 6: PhD Workshop: Monitoring and SecurityInternational audienceThis paper describes a protocol d...
Internet Traffic Classification aims at the identification of the Internet application that generate...
Internet Traffic Classification aims at the identification of the Internet application that generate...
Having a clear insight on the protocols carrying traffic is crucial for network applications....
The importance of network traffic classification has grown over the last two decades in line with th...
Peer-to-Peer IP Television (P2PTV) applications represent one of the fastest growing application cla...
The network have in the world highly congested channels and topology which was dynamically created w...
Managing high-bandwidth application traffic through identification of bandwidth-heavy Internet traff...
Network traffic classification plays a vital role in various network activities. Network traffic dat...
This paper proposes and analyzes the performance of a novel technique for the classification of Int...