This paper studies privacy preserving query services for strong simulation queries in the
database outsourcing paradigm. In such a paradigm, clients send their queries to a third …

The number and lethality of violent extremist plots motivated by the Salafi-jihadist ideology
have been growing for nearly the last decade in many parts of the world including both the …

With the fast development of social networks, more and more data has been generated.
Finding useful information among these data is important. Subgraph matching is the method …

The search in graph databases for individuals or entities undertaking latent or emergent
behaviors has applicability in the areas of homeland security, consumer analytics …

This paper outlines our on-going efforts to address the radicalization detection problem, the
automated or semi-automated task of dynamically detecting and tracking behavioral …

Over the past a few years, research and development has made significant progresses on
big data analytics. A fundamental issue for big data analytics is the efficiency. If the optimal …

We propose conditional graph patterns (CGPs) that make conventional patterns more
expressive, especially with positive and negative predicates. In emerging applications …

Identification and tracking of individuals or groups perpetrating latent or emergent behaviors
are significant in home-land security, cyber security, behavioral health, and consumer …

Identification and analysis of latent and emergent behavioral patterns are core tasks in
investigative domains such as homeland security, counterterrorism, and crime prevention …

Detecting the radicalization of violent extremists is a key component in preventing future
terrorist attacks, but it remains a significant challenge to law enforcement. Framing our …