Platform designed to analyse data from honeypots. Its aim is to harness the information generated by these environments to support attack detection, classification and prediction. The solution focuses on processing and analysing data associated with potentially malicious activity in order to extract useful information about observed attacks and their possible evolution.
RedBee is conceived as a support tool for improving understanding of attack patterns identified in honeypots and facilitating their analysis from a technical perspective.
Honeypot data analysis
RedBee analyses information collected through honeypots. Using these data, the platform aims to facilitate the detection and classification of attacks, as well as support the prediction of possible behaviours or trends associated with the observed activity.
Support for attack detection and prediction
RedBee makes it possible to work with honeypot data to obtain a more structured view of detected attacks. This can facilitate their classification and provide useful information for anticipating possible future patterns or behaviours.
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