Reliable Probabilistic Classification and Its Application to Internet Traffic
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
A nonlinear, recurrence-based approach to traffic classification
Computer Networks: The International Journal of Computer and Telecommunications Networking
Characterizing network traffic by means of the NetMine framework
Computer Networks: The International Journal of Computer and Telecommunications Networking
Internet traffic classification demystified: myths, caveats, and the best practices
CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference
TIE: A Community-Oriented Traffic Classification Platform
TMA '09 Proceedings of the First International Workshop on Traffic Monitoring and Analysis
On the stability of the information carried by traffic flow features at the packet level
ACM SIGCOMM Computer Communication Review
Regularized Linear Models in Stacked Generalization
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
One-Against-All Methodology for Features Selection and Classification of Internet Applications
IPOM '09 Proceedings of the 9th IEEE International Workshop on IP Operations and Management
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Composite lightweight traffic classification system for network management
International Journal of Network Management
FeedRank: a semantic-based management system of web feeds
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Network traffic classification based on error-correcting output codes and NN ensemble
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
Bayesian inference based on stationary fokker-planck sampling
Neural Computation
LCGT: a low-cost continuous ground truth generation method for traffic classification
APNOMS'09 Proceedings of the 12th Asia-Pacific network operations and management conference on Management enabling the future internet for changing business and new computing services
Digging into HTTPS: flow-based classification of webmail traffic
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
Internet traffic classification demystified: on the sources of the discriminative power
Proceedings of the 6th International COnference
Journal of Network and Computer Applications
A VoIP Traffic Identification Scheme Based on Host and Flow Behavior Analysis
Journal of Network and Systems Management
Analysis of the impact of sampling on NetFlow traffic classification
Computer Networks: The International Journal of Computer and Telecommunications Networking
Early classification of network traffic through multi-classification
TMA'11 Proceedings of the Third international conference on Traffic monitoring and analysis
Distributed denial of service attack detection using an ensemble of neural classifier
Computer Communications
WSEAS TRANSACTIONS on COMMUNICATIONS
A Short-Term Forecasting Algorithm for Network Traffic Based on Chaos Theory and SVM
Journal of Network and Systems Management
Using a behaviour knowledge space approach for detecting unknown IP traffic flows
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Journal of Network and Computer Applications
Feature selection for optimizing traffic classification
Computer Communications
Enhancing Tor's performance using real-time traffic classification
Proceedings of the 2012 ACM conference on Computer and communications security
Timely and continuous machine-learning-based classification for interactive IP traffic
IEEE/ACM Transactions on Networking (TON)
Genetic-based real-time fast-flux service networks detection
Computer Networks: The International Journal of Computer and Telecommunications Networking
Detection and classification of peer-to-peer traffic: A survey
ACM Computing Surveys (CSUR)
Robust network traffic identification with unknown applications
Proceedings of the 8th ACM SIGSAC symposium on Information, computer and communications security
Toward an efficient and scalable feature selection approach for internet traffic classification
Computer Networks: The International Journal of Computer and Telecommunications Networking
Data summarization for network traffic monitoring
Journal of Network and Computer Applications
Journal of Network and Computer Applications
Application of Bayesian Networks for Autonomic Network Management
Journal of Network and Systems Management
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Internet traffic identification is an important tool for network management. It allows operators to better predict future traffic matrices and demands, security personnel to detect anomalous behavior, and researchers to develop more realistic traffic models. We present here a traffic classifier that can achieve a high accuracy across a range of application types without any source or destination host-address or port information. We use supervised machine learning based on a Bayesian trained neural network. Though our technique uses training data with categories derived from packet content, training and testing were done using features derived from packet streams consisting of one or more packet headers. By providing classification without access to the contents of packets, our technique offers wider application than methods that require full packet/payloads for classification. This is a powerful advantage, using samples of classified traffic to permit the categorization of traffic based only upon commonly available information