slrbl / Intrusion-and-anomaly-detection-with-machine-learning

Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.

Date Created 2017-03-04 (7 years ago)

Commits 166 (last one about a year ago)

Stargazers 154 (0 this week)

Watchers 4 (0 this week)

Forks 73

License mit

Ranking

RepositoryStats indexes 599,932 repositories, of these slrbl/Intrusion-and-anomaly-detection-with-machine-learning is ranked #219,134 (63rd percentile) for total stargazers, and #378,864 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #39,798/120,502.

slrbl/Intrusion-and-anomaly-detection-with-machine-learning is also tagged with popular topics, for these it's ranked: machine-learning (#3,850/8099), cybersecurity (#451/977), infosec (#296/510)

All Topics

infosec log-analysis cybersecurity http-status-code machine-learning detect-intrusions intrusion-detection

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Recent Commit History

49 commits on the default branch (master) since jan '22

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The primary language is Python but there's also others...

updated: 2024-11-22 @ 09:55pm, id: 83909958 / R_kgDOBQBdRg