The aviation ecosystem generates a tremendous amount of data on large informational and operational networks. The scale of this data generation can be in the range of terabytes a day for an aviation original equipment manufacturer (OEM). The Cybersecurity Data Science (CSDS) Aviation Architecture Framework (AAF) seeks to apply data science to aviation ecosystem which consists of both Information Technology (IT) and Operational Technology (OT). CSDS AAF can be applied to different Environments of Operation such as airlines, airports, and Original Equipment Manufacturers (OEMs). The CSDS AAF identifies and clearly defines system level architecture such as Stakeholder Data-Stores, Cyber Analytical Cells (CACs), and Interconnected Individual Systems (IIS). The CSDS AAF also introduces the Data Life Cycle consisting of Acquire, Pre-Analyze, Collect, Curate, Advanced Analytics, and Information Sharing (Embry-Riddle Aeronautical University Center for Aerospace Resilience, 2023). This Data Science activity aims to ensure that the right data is collected and that all data is actionable. The contents of this report support the standard making activities within RTCA and EUROCAE to ensure the CSDS AAF is useable by all members.
