Network Systems Design Using Network Processors
Network Systems Design Using Network Processors
Analyzing peer-to-peer traffic across large networks
IEEE/ACM Transactions on Networking (TON)
Accurate, scalable in-network identification of p2p traffic using application signatures
Proceedings of the 13th international conference on World Wide Web
Transport layer identification of P2P traffic
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
BLINC: multilevel traffic classification in the dark
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
Time-series forecasting using flexible neural tree model
Information Sciences: an International Journal
Automated Traffic Classification and Application Identification using Machine Learning
LCN '05 Proceedings of the The IEEE Conference on Local Computer Networks 30th Anniversary
On-line system identification of complex systems using Chebyshev neural networks
Applied Soft Computing
Efficient packet classification using TCAMs
Computer Networks: The International Journal of Computer and Telecommunications Networking
Offline/realtime traffic classification using semi-supervised learning
Performance Evaluation
Real-time data mining of non-stationary data streams from sensor networks
Information Fusion
Info-fuzzy algorithms for mining dynamic data streams
Applied Soft Computing
Dynamic classification for video stream using support vector machine
Applied Soft Computing
A fair scheduling algorithm with traffic classification for wireless networks
Computer Communications
Intelligent agents for real time data mining in telecommunications networks
AIS-ADM'07 Proceedings of the 2nd international conference on Autonomous intelligent systems: agents and data mining
A survey and comparison of peer-to-peer overlay network schemes
IEEE Communications Surveys & Tutorials
Evolving computer programs without subtree crossover
IEEE Transactions on Evolutionary Computation
Accelerating network security services with fast packet classification
Computer Communications
System-level design: orthogonalization of concerns and platform-based design
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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It is estimated that 70% or more of broadband bandwidth is consumed by transmitting music, games, video and other content through Peer-to-Peer (P2P) clients. In order to detect, identify, and manage P2P traffic, some port, payload and transport layer feature based methods were proposed. Most of them were applied to offline traffic classification mainly due to the performance reason. In this paper, a network processors (NPs) based online hybrid traffic classifier is proposed. The designed hardware classifier is able to classify P2P traffic based on the static characteristic namely on line speed, and the Flexible Neural Tree(FNT) based software classifier helps learning and selecting P2P traffic attributes from the statistical characteristics of the P2P traffic. Experiment results illustrate that the hybrid classifier performs well for online classification of P2P traffic from gigabit network. The proposed framework also depicts good expansion capabilities to add new P2P features and to adapt to new P2P applications online.