With EMSO and IO intertwining with almost every DOD mobile asset, the sharing of data aggregated from systems of different levels of security is becoming more of a requirement for any operation. The ability for data of lower classification to flow from systems of higher classification (i.e., advanced sensors) to another system/platform (that meets the classification of the data) has yet to be developed. Is MLS capability feasible for mobile platforms in the near future let alone static ground-based systems? Additionally, what are the different considerations for mobile platforms (i.e., aircraft, UxS, Ships) that must be taken into account versus static ground-based systems? Finally, what are the best practices to solve this problem (AI/ML, contextual analysis, etc.)?
Context: Currently at a system level, there is no way to transfer data, files, etc of lower classification from JWICS to SIPR or SIPR to NIPR (ie transferring a SECRET document from JWICS to SIPR). Future CONEMPs for future conflicts are going to rely on the transfer of data between disaggregate systems of different security levels to share elements of data at the appropriate classification for the end user. There needs to a solution to allow this seamless flow of data from system to system without having someone to manually transfer data from one system to another (ie. re-typing something at the SECRET level from JWICS computer to a SIPR computer). As a proof of concept, developing a process/algorithm/capability to do this would be an starting point for achieving this for disconnected, mobile platforms (aircraft, UxS, ships, etc.) thus enabling things like Electromagnetic Battle Management, Crowd Source Flight Data, and Rapid Reprogramming.