# AbertayMachineLearningGroup/network-threats-taxonomy

<https://repo.masters-masters.com/en/repos/AbertayMachineLearningGroup/network-threats-taxonomy>

[Home](https://repo.masters-masters.com/en) › [AbertayMachineLearningGroup](https://repo.masters-masters.com/en/owners/AbertayMachineLearningGroup) › [network-threats-taxonomy](https://repo.masters-masters.com/en/repos/AbertayMachineLearningGroup/network-threats-taxonomy)

AbertayMachineLearningGroup/network-threats-taxonomy has 104 stars on GitHub. Its RepoMasters card: Prototype tier. Machine Learning based Intrusion Detection…

| Field | Value |
| --- | --- |
| Owner | [AbertayMachineLearningGroup](https://repo.masters-masters.com/en/owners/AbertayMachineLearningGroup) |
| Stars | 104 |
| Forks | 24 |
| Language | [TeX](https://repo.masters-masters.com/en/languages/tex) |
| License | GPL-3.0 |
| Created | 2018 |
| Topics | security, security-tools, security-vulnerability, security-automation, taxonomy, network-analysis, networking, tool, hacking, hacking-tools |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [AbertayMachineLearningGroup/network-threats-taxonomy](https://github.com/AbertayMachineLearningGroup/network-threats-taxonomy) |

## Repository

Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately network traffic and their associated threats. In this project we attempt at solving this problem by presenting two taxonomies

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.