Discovering associations between elements occurring in a stream is applicable in numerous applications, including predictive caching and fraud detection. These applications requir...
Anomaly detection is a pattern recognition task whose goal is to report the occurrence of abnormal or unknown behavior in a given system being monitored. In this paper we propose a...
Rewbenio A. Frota, Guilherme De A. Barreto, Jo&ati...
Modern Network Intrusion Detection Systems (NIDSs) maintain state that helps them accurately detect attacks. Because most NIDSs are signature-based, it is critical to update their...
Mobile ad hoc networks offer very interesting perspectives in wireless communications due to their easy deployment and their growing performances. However, due to their inherent c...
Jean-Marie Orset, Baptiste Alcalde, Ana R. Cavalli
In last decades there have been many proposals from the machine learning community in the intrusion detection field. One of the main problems that Intrusion Detection Systems (IDSs...