Empirically derived analytic models of wide-area TCP connections
IEEE/ACM Transactions on Networking (TON)
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Bro: a system for detecting network intruders in real-time
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Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Data Mining: Introductory and Advanced Topics
Data Mining: Introductory and Advanced Topics
Properties and prediction of flow statistics from sampled packet streams
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An introduction to variable and feature selection
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An analysis of Internet chat systems
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Accurate, scalable in-network identification of p2p traffic using application signatures
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Flow sampling under hard resource constraints
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Cluster Analysis for Gene Expression Data: A Survey
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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
Internet traffic classification using bayesian analysis techniques
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Profiling internet backbone traffic: behavior models and applications
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
BLINC: multilevel traffic classification in the dark
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
ACAS: automated construction of application signatures
Proceedings of the 2005 ACM SIGCOMM workshop on Mining network data
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 using clustering algorithms
Proceedings of the 2006 SIGCOMM workshop on Mining network data
The power of slicing in internet flow measurement
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
Semi-supervised network traffic classification
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Early application identification
CoNEXT '06 Proceedings of the 2006 ACM CoNEXT conference
Toward the accurate identification of network applications
PAM'05 Proceedings of the 6th international conference on Passive and Active Network Measurement
Semi-supervised network traffic classification
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Byte me: a case for byte accuracy in traffic classification
Proceedings of the 3rd annual ACM workshop on Mining network data
Offline/realtime traffic classification using semi-supervised learning
Performance Evaluation
Ranking web sites with real user traffic
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
A comparative analysis of web and peer-to-peer traffic
Proceedings of the 17th international conference on World Wide Web
Improve Flow Accuracy and Byte Accuracy in Network Traffic Classification
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Detecting VoIP Traffic Based on Human Conversation Patterns
Principles, Systems and Applications of IP Telecommunications. Services and Security for Next Generation Networks
Traffic classification using en-semble learning and co-training
AIC'08 Proceedings of the 8th conference on Applied informatics and communications
Internet traffic classification demystified: myths, caveats, and the best practices
CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference
What's in a session: tracking individual behavior on the web
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Browser Fingerprinting from Coarse Traffic Summaries: Techniques and Implications
DIMVA '09 Proceedings of the 6th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment
Robustness of emerged community in social network
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Exploiting dynamicity in graph-based traffic analysis: techniques and applications
Proceedings of the 5th international conference on Emerging networking experiments and technologies
Traffic Classification Based on Flow Similarity
IPOM '09 Proceedings of the 9th IEEE International Workshop on IP Operations and Management
Distributed P2P traffic identification method
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Improving cost and accuracy of DPI traffic classifiers
Proceedings of the 2010 ACM Symposium on Applied Computing
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
Impact of asymmetric routing on statistical traffic classification
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
An experimental evaluation of the computational cost of a DPI traffic classifier
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A framework for tunneled traffic analysis
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
Modeling QoS in P2P file-sharing with benign and malicious peers by stochastic activity networks
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
Profiling-By-Association: a resilient traffic profiling solution for the internet backbone
Proceedings of the 6th International COnference
Internet traffic classification demystified: on the sources of the discriminative power
Proceedings of the 6th International COnference
Nfsight: netflow-based network awareness tool
LISA'10 Proceedings of the 24th international conference on Large installation system administration
Optimizing Deep Packet Inspection for High-Speed Traffic Analysis
Journal of Network and Systems Management
Properties and Evolution of Internet Traffic Networks from Anonymized Flow Data
ACM Transactions on Internet Technology (TOIT)
Towards Green P2P: Understanding the Energy Consumption in P2P under Content Pollution
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Analysis of the impact of sampling on NetFlow traffic classification
Computer Networks: The International Journal of Computer and Telecommunications Networking
Proceedings of the 23rd International Teletraffic Congress
K-dimensional trees for continuous traffic classification
TMA'10 Proceedings of the Second international conference on Traffic Monitoring and Analysis
Journal of Network and Computer Applications
Methodology for detection and restraint of p2p applications in the network
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part IV
Photonic Network Communications
Timely and continuous machine-learning-based classification for interactive IP traffic
IEEE/ACM Transactions on Networking (TON)
Computer Networks: The International Journal of Computer and Telecommunications Networking
Unsupervised traffic classification using flow statistical properties and IP packet payload
Journal of Computer and System Sciences
Detection and classification of peer-to-peer traffic: A survey
ACM Computing Surveys (CSUR)
Toward an efficient and scalable feature selection approach for internet traffic classification
Computer Networks: The International Journal of Computer and Telecommunications Networking
An optimal deployable bandwidth aggregation system
Computer Networks: The International Journal of Computer and Telecommunications Networking
Reviewing traffic classification
DataTraffic Monitoring and Analysis
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Traffic classification is the ability to identify and categorize network traffic by application type. In this paper, we consider the problem of traffic classification in the network core.Classification at the core is challenging because only partial information about the flows and their contributors is available. We address this problem by developing a framework that can classify a flow using only unidirectional flow information. We evaluated this approach using recent packet traces that we collected and pre-classified to establish a "base truth". From our evaluation, we find that flow statistics for the server-to-client direction of a TCP connection provide greater classification accuracy than the flow statistics for the client-to-server direction. Because collection of the server-to-client flow statistics may not always be feasible, we developed and validated an algorithm that can estimate the missing statistics froma unidirectional packet trace.