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I am trying to build a model (Machine Learning) in order to detect malicious network traffic. At first, I am trying classify network traffic as malware or benign.
After predicting the malware part, I want to classify it into different malware families.


I have a dataset that includes 90 features (https://www.nfstream.org/docs/api) and currently am trying to figure out which features are important for malware detection.

each line in the dataset represents a session and includes features such as src_ip, dst_ip, protocol, and much more.

After reading much online, I couldn't reach to a conclusion as to which feature can point to a network malware?
In your experience, what features should I focus on? any additional information or articles would be much appreciated.

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  • $\begingroup$ i think this is most appropriate for stackoverflow or cybersecurity forum, it is not about Machine Learning per se $\endgroup$
    – Nikos M.
    Nov 25 at 17:16

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