Paulo C. G. Costa

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Achieving agile Command and Control in Maritime Operations requires composeability the ability to construct responses “on the fly” to queries about a given situation, by discovering and drawing upon the appropriate resources from among the vast collection of resources existing on a distributed network. Although net-centric architectures such as FORCEnet(More)
This paper describes the Detection of Threat Behavior (DTB) project, a joint effort being conducted by George Mason University (GMU) and Information Extraction and Transport, Inc. (IET). DTB uses novel approaches for detecting insiders in tightly controlled computing environments. Innovations include a distributed system of dynamically generated(More)
The Uncertainty Representation and Reasoning Evaluation Framework (URREF) includes an ontology that represents concepts and criteria needed to evaluate the uncertainty management aspects of a fusion system. The URREF ontology defines self-confidence as a measure of the information credibility as evaluated by the sensor itself. The concept of confidence,(More)
Predictive Situation Awareness (PSAW) is the ability to estimate and predict aspects of a temporally evolving situation. PSAW systems reason about complex and uncertain situations involving multiple targets observed by multiple sensors at different times. Multi-Entity Bayesian Networks (MEBN) are rich enough to represent and reason about uncertainty in(More)
High-Level Information Fusion (HLIF) utilizes techniques from Low-Level Information Fusion (LLIF) to support situation/impact assessment, user involvement, and mission and resource management (SUM). Given the unbounded analysis of situations, events, users, resources, and missions; it is obvious that uncertainty is manifested by the nature of application(More)
Evaluating the impact that events within the cyber domain have on a military operation and its critical infrastructure is a non-trivial question, which remains unanswered so far in spite of the various research efforts addressing it. The key issue underlying this question is the difficulty in correlating cyber and physical behaviors in an integrated view,(More)
Predictive Situation Awareness (PSAW) emphasizes the ability to make predictions about aspects of a temporally evolving situation. Higher-level fusion to support PSAW requires a semantically rich representation to handle complex real world situations and the ability to reason under uncertainty about the situation. Multi-Entity Bayesian Networks (MEBN) are(More)
High-Level Information Fusion (HLIF) utilizes techniques from Low-Level Information Fusion (LLIF) to support situation/impact assessment, user involvement, and mission and resource management (SUM). Given the unbounded analysis of situations, events, users, resources, and missions; it is obvious that uncertainty is manifested by the nature of application(More)
Automatic Dependent Surveillance Broadcast (ADS-B) is an emerging radio technology capable of extending or replacing current RADAR-based surveillance for air traffic management. However, due to its reliance on unencrypted radio transmissions, ADS-B is exploitable using relatively inexpensive and open source tools. This paper demonstrates how multilateration(More)
Automatic Dependent Surveillance Broadcast (ADS-B) has been gaining attention as a replacement and strengthening of primary and secondary RADAR systems. Nevertheless, there have been several security concerns about this protocol because messages are sent in clear text, which makes it vulnerable to several attacks. In recent work, we addressed these concerns(More)