A widely used approach to avoid network intrusion is SNORT, an open source Network Intrusion Detection System (NIDS). This work describes SPP-NIDS, a architecture for intrusion de...
Luis Carlos Caruso, Guilherme Guindani, Hugo Schmi...
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
Abstract. Anomaly detection, detection of deviations from what is considered normal, is an important complement to misuse detection based on attack signatures. Anomaly detection in...
With the menace of hackers increasing every day, even well administrated networks are vulnerable to attack. Therefore, securing network assets has become a significant issue for th...
We introduce and describe a novel network simulation tool called NeSSi (Network Security Simulator). NeSSi incorporates a variety of features relevant to network security distingu...