# evilsocket/ebpf-process-anomaly-detection

<https://repo.masters-masters.com/en/repos/evilsocket/ebpf-process-anomaly-detection>

[Home](https://repo.masters-masters.com/en) › [evilsocket](https://repo.masters-masters.com/en/owners/evilsocket) › [ebpf-process-anomaly-detection](https://repo.masters-masters.com/en/repos/evilsocket/ebpf-process-anomaly-detection)

evilsocket/ebpf-process-anomaly-detection has 138 stars on GitHub. Its RepoMasters card: Prototype tier. Process behaviour anomaly detection using eBPF and…

| Field | Value |
| --- | --- |
| Owner | [evilsocket](https://repo.masters-masters.com/en/owners/evilsocket) |
| Stars | 138 |
| Forks | 17 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2022 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [evilsocket/ebpf-process-anomaly-detection](https://github.com/evilsocket/ebpf-process-anomaly-detection) |

## Repository

Process behaviour anomaly detection using eBPF and unsupervised-learning Autoencoders

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.
