Ishigami and Klein (2010) showed that scores of the three attention networks (alerting, orienting, and executive control) measured with the two versions of the Attention Network Test (ANT; Fan et al., 2002; Callejas et al., 2005) were robust over 10 sessions of repeated testing even though practice effects were consistently observed especially in the executive network when young adults were tes...

Intrusion alert correlation techniques correlate alerts into meaningful groups or attack scenarios for the ease to understand by human analysts. However, the performance of correlation is undermined by the imperfectness of intrusion detection techniques. Falsely correlated alerts can be misleading to analysis. This paper presents a practical technique to improve alert correlation by integrating...

In network forensics, attack intentions analyses play a major role to help and accelerate decision–making for apprehending the real perpetrator. In fact, attack intention analysis is a prediction factor to help investigators to conclude a case with high accuracy. However, current techniques in attack intention analysis only focus on recognizing an alert correlation for certain evidence and pred...

Most story-based games today have manually-scripted non-player characters (NPCs) and the scripts are usually simple and repetitive since it is timeconsuming for game developers to script each character individually. ScriptEase, a publicly-available author-oriented developer tool, attempts to solve this problem by generating script code from high-level design patterns, for BioWare Corp.'s role-p...

The supercritical regime of a percolation model refers to the range of probabilities (discrete) or densities (continuous) above a critical value for which there exists a unique unbounded cluster almost surely. In this paper, we provide an upper bound to the linear distance from the origin to this giant connected component for both the discrete and the continuous (Boolean) model in two-dimension...