ashwinn-v / Traffic-classifier-SDN

A system that could classify DNS, Telnet, Ping, Voice, Game, and Video traffic flows based on packet and byte information simulated by the Distributed Internet Traffic Generator (D-ITG) tool in an Software Defined Network (SDN) based network topology with Open vSwitch (OVS) using machine learning algorithms such as Logistic regression,K-Means clustering,K nearest neighbours, SVC, Gaussian NB and Random Forest Classifier.

Date Created 2021-12-22 (2 years ago)

Commits 4 (last one 2 years ago)

Stargazers 35 (0 this week)

Watchers 2 (0 this week)

Forks 4

License unknown

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RepositoryStats indexes 584,353 repositories, of these ashwinn-v/Traffic-classifier-SDN is ranked #537,113 (8th percentile) for total stargazers, and #478,709 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #105,067/116,326.

ashwinn-v/Traffic-classifier-SDN is also tagged with popular topics, for these it's ranked: python (#20,770/22011), machine-learning (#7,510/7926)

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All Topics

ovs sdn python mininet networks classifier networksproject machine-learning computer-networks computer-networks-project

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updated: 2024-11-14 @ 05:07pm, id: 440970864 / R_kgDOGkiucA