Modern Defense strategy and execution is increasingly net-centric, making more information available more quickly. In this environment, the intelligence agent or warfighter must distinguish decision-quality information from potentially inaccurate, or even conflicting, pieces of information from multiple sources - often in time-critical situations. The Pedigree Management and Assessment Framework (PMAF) enables the publisher of information to record standard provenance metadata about the source, manner of collection, and the chain of modification of information as it passed through processing and/or assessment. In addition, the publisher can define and include other metadata relevant to quality assessment, such as domain-specific metadata about sensor accuracy or the organizational structure of agencies. PMAF stores this potentially enormous amount of metadata compactly and presents it to the user in an intuitive graphical format, together with PMAF-generated assessments that enable the user to quickly estimate information quality. PMAF has been created for a net-centric information management system; it can access pedigree information across communities of interest (COIs) and across network boundaries and will also be implemented in a Web Services environment.
Net-centric information systems such as the Air Force's Joint Battlespace Infosphere (JBI) require a secure, scalable, object repository to support the vision of a globally accessible, secure, distributed information “space.” Peer-to-peer (P2P) technology holds significant promise for these large-scale information repositories because of its demonstrated scalability and robustness. The development of a P2P object repository poses significant challenges: distributed query processing and security. This paper presents and discusses ORIS, a peer-to-peer object repository that not only stores objects but also supports database-type queries. The ORIS P2P technology ensures resilience and scalability and also employs secret sharing techniques and access control to ensure the confidentiality, integrity, and availability of objects even if a number of peers are physically or clandestinely compromised by an enemy attack. The Air Force Research Laboratory has developed the Distributed Information Enterprise Modeling and Simulation (DIEMS) framework that efficiently supports the modeling and simulation of large globally distributed computer networks. DIEMS has been used to model prototypes of the JBI and is currently being used to assess the system performance, scalability, and survivability of ORIS. Preliminary results indicate query performance to be acceptable given an adequate network configuration. We also present the results of this modeling and simulation assessment.