Representation Agnostic Cyber Knowledge (R.A.C.K.)

Context affects the systems’ ability to comprehend its environment and to make effective decisions based on that understanding. It is a natural tendency for independently generated reasoning systems to use separate representations, which makes each reasoning system, its inputs, and its conclusions, incompatible with others. What is needed is a knowledge representation that supports backward compatibility, can efficiently support numerous reasoning methods, and enable information exchange between systems, even legacy systems where compatibility was not originally envisioned in the design. We propose to build Representation Agnostic Cyber Knowledge (R.A.C.K.), a fuzzy linguistic context construct that can efficiently support use by a wide range of technologies, and maintain compatibility between independent adopters of R.A.C.K. despite selection of separate sets of linguistic representations for context reasoning. With R.A.C.K., multiple independent enclaves using independently developed and maintained network defense tools can coordinate to provide mutual defensive support.