Goal recognition, which is the task of inferring an agent’s goals given some or all of the agent’s observed actions, is one of the important approaches in bridging the gap between the observation and decision making within an observe-orient-decide-act cycle. Unfortunately, few research focuses on how to improve the utilization of knowledge produced by a goal recognition system. In this work, we...

In this study we investigate the vulnerability of road networks to interdictions. We consider that an intentional attacker wants to maximize the congestion level on the network by interdicting some links of the network. The drivers are assumed to be selfish and always choose the route that minimizes the individual travel cost. In this case, network traffic flow follows user equilibrium (UE) tra...

The interdiction of nuclear materials during illegal transportation requires both detection of radiation and identification of radionuclides in order to distinguish among the various categories of nuclides and their implied threat. Interdiction regimes, based upon available technologies, were developed rapidly after the tragic events of 9-11. In general, a low resolution or "no-resolution" port...

The purpose of the matching interdiction problem in a weighted graph is to find two vertices such that the weight of the maximum matching in the graph without these vertices is minimized. An approximate solution for this problem has been presented. In this paper, we consider dendrimers as graphs such that the weights of edges are the bond lengths. We obtain the maximum matching in some types of...

Abstract In the face of market uncertainty, illicit actors on darkweb mitigate risk by displacing their operations across digital marketplaces. this study, we reconstruct networks created vendor displacement to examine how marketplaces are connected and identify properties that drive flows before after a law enforcement disruption. Findings show vendors’ movement creates highly ecosystem; nearl...