Abstract. Many host-based anomaly detection systems monitor process execution at the granularity of system calls. Other recently proposed schemes instead verify the destinations of...
Monirul I. Sharif, Kapil Singh, Jonathon T. Giffin...
This research employs unsupervised pattern recognition to approach the thorny issue of detecting anomalous network behavior. It applies a connectionist model to identify user behav...
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
This paper presents two variants of Genetic Programming (GP) approaches for intelligent online performance monitoring of electronic circuits and systems. Reliability modeling of el...
Abstract. When installing network intrusion detection systems (NIDSs), operators are faced with a large number of parameters and analysis options for tuning trade-offs between dete...
Holger Dreger, Anja Feldmann, Vern Paxson, Robin S...