Empirically derived analytic models of wide-area TCP connections
IEEE/ACM Transactions on Networking (TON)
An introduction to variable and feature selection
The Journal of Machine Learning Research
Measurement, modeling, and analysis of a peer-to-peer file-sharing workload
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
An analysis of Internet chat systems
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Accurate, scalable in-network identification of p2p traffic using application signatures
Proceedings of the 13th international conference on World Wide Web
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Internet traffic classification using bayesian analysis techniques
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
BLINC: multilevel traffic classification in the dark
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
Automated Traffic Classification and Application Identification using Machine Learning
LCN '05 Proceedings of the The IEEE Conference on Local Computer Networks 30th Anniversary
A Longitudinal Study of P2P Traffic Classification
MASCOTS '06 Proceedings of the 14th IEEE International Symposium on Modeling, Analysis, and Simulation
Traffic classification through simple statistical fingerprinting
ACM SIGCOMM Computer Communication Review
A comparative analysis of web and peer-to-peer traffic
Proceedings of the 17th international conference on World Wide Web
Early application identification
CoNEXT '06 Proceedings of the 2006 ACM CoNEXT conference
Internet traffic classification demystified: myths, caveats, and the best practices
CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference
Support Vector Machines for TCP traffic classification
Computer Networks: The International Journal of Computer and Telecommunications Networking
A survey of techniques for internet traffic classification using machine learning
IEEE Communications Surveys & Tutorials
StegoTorus: a camouflage proxy for the Tor anonymity system
Proceedings of the 2012 ACM conference on Computer and communications security
Online NetFPGA decision tree statistical traffic classifier
Computer Communications
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Classifying network flows by their application type is the backbone of many crucial network monitoring and controlling tasks, including billing, quality of service, security and trend analyzers. The classical “port-based” and “payload-based” approaches to traffic classification have several shortcomings. These limitations have motivated the study of classification techniques that build on the foundations of learning theory and statistics. The current paper presents a new statistical classifier that allows real time classification of encrypted data. Our method is based on a hybrid combination of the k-means and k-nearest neighbor (or k-NN) geometrical classifiers. The proposed classifier is both fast and accurate, as implied by our feasibility tests, which included implementing and intergrading statistical classification into a realtime embedded environment. The experimental results indicate that our classifier is extremely robust to encryption.