Machine learning using Snort

[Ghislain Hounmenou via Snort-devel <snort-devel () lists snort org>]

Hello everyone, I hope you're doing well. Currently, I'm working on
developing a machine learning plugin for Snort. My idea is to enhance
Snort's capabilities by adding behavior-based (anomaly) detection in
addition to signature-based detection. For this purpose, I trained a
machine learning model using PCA for dimensionality reduction and SVM as
the classifier, using the CICIDS2017 dataset. Now, I would like to know how
I can integrate the trained model into Snort. Are there any existing works
in this direction that can guide me or provide some ideas? I need to
present the solution in 09 days.

Please let me know, Please.

-- 
*Ghislain HOUNMENOU*
+229 96 418 892 / 64 489 787

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