We propose a periodic diagnostic algorithm based on the testing model of computation for real-time systems. The diagnostic task runs on every processor of the system. When the task...
Attribute importance measures for supervised learning are important for improving both learning accuracy and interpretability. However, it is well-known there could be bias when th...
— The ad-hoc methodology that is prevalent in today’s testing and evaluation of network intrusion detection algorithms and systems makes it difficult to compare different algor...
Nicholas Athanasiades, Randal Abler, John G. Levin...
We consider a network of remote agent platforms that are tested by roaming spy agents in order to identify those that are malicious, based on the outcome of each agent. It is show...
Abstract: We present a new algorithm for automatic test generation for multicast routing. Our algorithm processes a nite state machine (FSM) model of the protocol and uses a mix of...