dessertlab/cti-to-mitre-with-nlp
Replication package for the paper "Automatic Mapping of Unstructured Cyber Threat Intelligence: An Experimental Study" published at the IEEE International Symposium on Software Reliability Engineering (ISSRE) 2022
This project helps cybersecurity analysts automatically categorize raw, unstructured cyber threat intelligence (CTI) reports. It takes in plain text CTI documents and maps them to specific attack techniques defined by the MITRE ATT&CK framework. Security operations centers, threat intelligence teams, and incident responders can use this to standardize and enrich their threat data.
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Use this if you need to automatically classify textual cyber threat intelligence into MITRE ATT&CK techniques to improve threat analysis and response.
Not ideal if you are looking for a real-time, production-ready system for continuous CTI processing without further integration or development.
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Jupyter Notebook
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CC-BY-SA-4.0
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Last pushed
Aug 29, 2022
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