DART-Laboratory / Flash-IDS

Flash-IDS is an open-source system developed by the DART Laboratory for advanced intrusion detection using provenance graph representation learning. It implements the techniques presented in our IEEE S&P 2024 paper, "FLASH: A Comprehensive Approach to Intrusion Detection via Provenance Graph Representation Learning.

DART-Laboratory
DART-Laboratory
Date Created 2023-10-28 (about a year ago)
Commits 3 (last one 10 months ago)
Stargazers 58 (0 this week)
Watchers 1 (0 this week)
Forks 20
License unknown
Ranking

RepositoryStats indexes 630,031 repositories, of these DART-Laboratory/Flash-IDS is ranked #443,067 (30th percentile) for total stargazers, and #555,457 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #11,632/18,981.

DART-Laboratory/Flash-IDS is also tagged with popular topics, for these it's ranked: threat-hunting (#163/186),  attack (#110/139)

Other Information

DART-Laboratory/Flash-IDS has Github issues enabled, there are 6 open issues and 0 closed issues.

Star History

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Watcher History

Github watchers over time, collection started in '23

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Recent Commit History

3 commits on the default branch (main) since jan '22

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Issue History

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Languages

The only known language in this repository is Jupyter Notebook

Jupyter NotebookJupyter Notebook

updated: 2025-03-17 @ 10:10pm, id: 711309815 / R_kgDOKmW59w