Anomaly-based intrusion detection using distributed intelligent systems

Anomaly based intrusion detection suffers from the uncontrollability of the rate of false alarms (false positive). What one computer may not be able to accomplish (reliable detection of a new malware with small false positive) many networked intelligently may. This paper is a proof of concept of that idea based on simulation with real data analysis. It speculates on how such set-up could be made part of a large scale intelligent system.