We recently presented a methodology to quantitatively reduce the average time and variance in the time required to execute electronic transactions in a network environment such as...
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
In this paper, a new strategy is proposed to defend against colluding malicious nodes in a sensor network. The new strategy is based on a new relaxation labeling algorithm to class...
Chih-Chieh Geoff Chang, Wesley E. Snyder, Cliff Wa...
Wireless sensor networks (WSN) are composed of battery-driven communication entities performing multiple, usually different tasks. In order to complete a given task, all sensor no...
Correlating and analyzing security alerts is a critical and challenging task in security management. Recently, some techniques have been proposed for security alert correlation. H...