Python Looking for guidance on my final project

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SUMMARY

The discussion centers on a final project focused on threat modeling and prediction using machine learning. The participant references the MITRE ATT&CK framework and STIX for data mining, alongside CVSS for threat scoring. Suggestions include narrowing the project scope to specific threats and analyzing web traffic data. A recommended resource is a blog article from Varonis that provides further insights into threat modeling.

PREREQUISITES
  • Understanding of threat modeling concepts
  • Familiarity with the MITRE ATT&CK framework
  • Knowledge of machine learning techniques
  • Experience with CVSS for threat scoring
NEXT STEPS
  • Research specific threat types for targeted modeling
  • Learn about analyzing web traffic data for threat detection
  • Explore machine learning algorithms applicable to threat prediction
  • Review the Varonis blog article on threat modeling for practical insights
USEFUL FOR

Students and professionals in cybersecurity, data scientists interested in threat prediction, and anyone involved in threat modeling and machine learning applications.

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My project is on threat modelling and prediction. The use of threat modelling with machine learning. So far I've found articles that use MITRE ATT&CK repository with STIX used with machine learning and data mining with CVSS, but I'm unsure if this is the right track. I basically just need to know I'm on the right track so sources and ideas for would help me a lot. Thank you
 
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Your project topic seems very broad.

Have you thought to narrow it down to a specific kind of threat and how you might spot it in web traffic data as an example?

I found this blog article on your topic that might help you or others reading this post

https://www.varonis.com/blog/threat-modeling
 

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