The Secure NeTcentric INformation Assurance cLassifyer (SENTINEL)

KBSI proposes the Secure NeTcentric INformation Assurance cLassifyer (SENTINEL), a distributed semantic and data-driven security classifier that has the ability to semantically classify, manage and filter Cross-Domain Solution (CDS) content. The proposed design would integrate ontology-assisted semantic reasoning, natural language processing, and rule based expert systems to facilitate a robust, cost-effective CDS security clearance guard. The main result of this project would be the research and design of a CDS security clearance guard that is able to securely manage the data from different classifications while preventing ‘bleed off’ of data into improper security levels and users. The guard will allow for lower clearance users to access information that is filtered to match their security clearance. Similarly, the guard will allow data from all security levels to be managed such that higher levels can access lower security data without the data intermixing or lower levels having access to the higher level systems.