Challenge description:
It is important to know who and how made the cyber-attack. The info is relevant not only to organization or person, but the national security as well. Digital forensics is oriented on examination of digital evidence. However not everyone knows how properly to manage the log and other data for further its analysis. Sharing the data with untrusted party also might be impossible.
This challenge is looking for a detailed idea, how to utilize existing technologies for automated digital forensics related data collection, anonymized sharing or federated learning to automate the initial data analysis. This solution could simplify digital evidence collection and get insights, based on other similar cases.
Generating the idea, the analysis of data, used for digital forensics should be carefully analysed how it can be systematically collected and shared. For the sharing part, take into account the data privacy questions. Consider the possibilities to use certain data anonymization solutions. Federated learning solutions also could be analysed to combine trained models from different users to get insights without revealing the data itself.