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Flow Based Classification Of Webmail Traffic

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Dernière mise à jour: 2022-01-16

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Ajouté par: Degois Electricite Automatismes

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Digging into HTTPS: flow-based classification of webmail ...

Dominik et al. [18] presented a flow-based classification of Webmail traffic. By extracting features from HTTPS flows, their method can detect …
Url: https://www.researchgate.net/publication/220269644_Digging_into_HTTPS_flow-based_classification_of_webmail_traffic
Digging into HTTPS: flow-based classification of webmail ...

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Ajouté par: Legiteam Dokouzlian Raimbault

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Digging into HTTPS: flow-based classification of webmail ...

Third,trafficflowstowebmail platforms exhibit inherent periodicities since AJAX-based clients periodically check for new messages. We use these features to build a simple classifier and detect webmail traffic on real-world NetFlow traces fromamedium-sized backbone network. We believe that the major contribution of this paper – exploring a set of new features that could …
Url: https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.397.2676
Digging into HTTPS: flow-based classification of webmail ...

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Ajouté par: Phillipe Garmond Spol. S R.o.

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Internet traffic classification based on flows ...

The current work proposes a new approach in the area of network traffic classification using machine learning. First, we extract the unidirectional and bidirectional flows from a traffic capture. A flow is a collection of packets that share sender and receiver IP address and port. Second, we select relevant statistical properties of these flows and use an unsupervised …
Url: https://onlinelibrary.wiley.com/doi/abs/10.1002/nem.1929
Internet traffic classification based on flows ...

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Ajouté par: Hello Formation

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TRAFFIC CLASSIFICATION AND MANAGEMENT BASED ON FLOW ...

the packets based on the payload, and classification based on a statistical method that uses statistical analysis of the traffic behaviour e.g. inter-packet arrival, session time, and total number of bytes in a flow. Algorithms for classification of Internet traffic generally falls into two groups: stateless and stateful. In stateless classier (also referred to as packet classier),
Url: http://eprints.utm.my/id/eprint/79307/1/HaiderAliMFKE2018.pdf
TRAFFIC CLASSIFICATION AND MANAGEMENT BASED ON FLOW ...

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Ajouté par: Asder

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Traffic Classification - Cisco

is used for carrying the actual voice traffic. Once a H.323 flow is identified and marked, subsequent RTP/RTCP flows to the same source IP/destination IP pair are tagged with the same parameters. 3. Message-Based per Flow State (MBFS) method is similar to PBFS, except that this operates on messages instead of packets. A message is protocol dependent and is an …
Url: https://www.cisco.com/c/en/us/td/docs/nsite/enterprise/wan/wan_optimization/wan_opt_sg/chap05.pdf
Traffic Classification - Cisco

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Ajouté par: Association 4 G.i - Se Libérer Par Le Corps

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Internet traffic classification based on flows ...

02/11/2018 · Internet traffic classification based on flows’ statistical properties with machine learning Research Advisor: BiswanathMukherjee Vlăduţu, Alina, DragoşComăneci, and CiprianDobre. “Internet traffic classification based on flows’statistical properties with machine learning,”International Journal of Network Managementvol.27,no.3,2017.
Url: http://networks.cs.ucdavis.edu/presentation2018/Lin-11-02-2018.pdf
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Ajouté par: Garage Dubuis

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Traffic Classification – Packet-, Flow-, and Application ...

on the Internet backbone. Flow classifications based on classifying BGP level prefix flows are one example of routing traffic classifications [17,18]. Reference [17] uses a method based on Dirichlet Mixture Processes, modeling flow histograms with a capability of examining macroscopic flows while distinguishing between various classes of traffic.
Url: https://pdfs.semanticscholar.org/92dd/c0a1792567a26d70e1f17cec94c773656b0c.pdf
Traffic Classification – Packet-, Flow-, and Application ...

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Ajouté par: solarwindsinc

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Overview of Network Traffic Flow Technologies

Overview of Network Traffic Flow Technologies

Ajouté par: Ahmed Khan

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Machine Learning in Traffic Classification of SDN Network | Ahmed Khan | University of Toronto

Machine Learning in Traffic Classification of SDN Network | Ahmed Khan | University of Toronto

Ajouté par: OISF-Suricata

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Machine Learning and Network Traffic Metadata-based Tunneling Protocols Detection and Classification

Machine Learning and Network Traffic Metadata-based Tunneling Protocols Detection and Classification

Ajouté par: Ajay Tibrewal

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Traffic Sign Classification | Keras Xception | Kaggle GTSRB | 98% Accuracy | Computer Vision

Traffic Sign Classification | Keras Xception | Kaggle GTSRB | 98% Accuracy | Computer Vision

Ajouté par: IEEEComSoc

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Mobile Encrypted Traffic Classification Using Deep Learning

Mobile Encrypted Traffic Classification Using Deep Learning

Ajouté par: TAUVOD

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FlowPic: Encrypted Internet Traffic Classification is as Easy as Image Recognition

FlowPic: Encrypted Internet Traffic Classification is as Easy as Image Recognition

Ajouté par: qosmosTV

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How to Survive the Encrypted Network Traffic Apocalypse

How to Survive the Encrypted Network Traffic Apocalypse

Ajouté par: Hunan Nanoradar Science &Technology Co., Ltd.,

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Traffic flow radar 4 6 lanes 250 300m counting vehicles, vehicle classification

Traffic flow radar 4 6 lanes 250 300m counting vehicles, vehicle classification

Ajouté par: ACM SIGMETRICS

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1B 4 A Look Behind the Curtain Traffic Classification in an Increasingly Encrypted Web

1B 4 A Look Behind the Curtain Traffic Classification in an Increasingly Encrypted Web

Ajouté par: ECE 2017 - 21 Final Year Projects

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Network Traffic Classification using Deep Learning | Final year Project |

Network Traffic Classification using Deep Learning | Final year Project |
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