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STO-TR-IST-163 Deep Machine Learning for Cyber Defense

Activity: OtherParticipation to a NATO STO RTG/ET

Description

The main goal of the Research Task Group (RTG), Information Systems Technology (IST) 163 activity is to consolidate the NATO-wide knowledge in the field of deep ML and cyber defence, identify the gaps between civilian solutions and military needs, and collaborate with other NATO nations to use data processing, share data and pursue the transfer of the most promising technologies and applications to the military domain. The RTG activity examined the civilian and military needs and solutions including gaps and existing cyber defence techniques. The RTG examined these techniques in alignment with the National Institute of Standards and Technology (NIST) guidelines as guiding factors to compare how the current practices compare to the standards with an assessment of limitations and challenges. The research task group discussed sharing methods and models and the state of the art for sharing data across NATO nations. The technical report scrutinises the intricate utility of DML, practical implementations as well as open challenges. The Research Task Group comprises experts across the fields of data science, machine learning, cyber defence, modelling and simulation, and systems engineering.

Additional Description

https://www.sto.nato.int/publications/STO%20Technical%20Reports/Forms/Technical%20Report%20Document%20Set/docsethomepage.aspx?ID=5033&FolderCTID=0x0120D5200078F9E87043356C409A0D30823AFA16F6010066D541ED10A62C40B2AB0FEBE9841A61&List=92d5819c-e6ec-4241-aa4e-57bf918681b1&RootFolder=%2Fpublications%2FSTO%20Technical%20Reports%2FSTO%2DTR%2DIST%2D163
Period20182022
Degree of RecognitionInternational