iosifache / dikedataset Goto Github PK

I have observed the malware.csv file in the labels directory, and I have seen that you have classified the malware into I have seen that you have classified malware into 9 categories and given the associated probabilities, we can assume that the category with the highest probability is the one that it belongs to, but if we go by this idea, it is obvious that the next six categories are not mentioned because their probabilities are too small, is there something wrong with my understanding of the classification probabilities.

To compute the membership on each malware family, a transformer was developed (see the observation above) to "vote" for each available family. For example, if an antivirus engine tag was Trj, then one vote for the trojan family was offered. All tags were consumed in this way and the votes for all families were normalized.

(see the observation above)

https://github.com/iosifache/dike/blob/main/codebase/scripts/continuous_vt_scan.py

I entered this link, but I didn't know from labeling step 3.

What should I do from labeling step 3?

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To

Hi George-Andre Iosif,

I am a student currently pursuing PGDMA in cybersecurity. I am currently working on my research paper about integration of AI enabled malware detection in antivirus software for which i want to use your dataset to train my model due to which I am raising this request. I am so grateful if granted permission to use the dataset. Thanking you in advance

Best Regards,
Aj-it22(Ajit Varma)