Two-stage orthogonal network incident detection for the adaptive coordination with SMTP proxy

In this paper we present an adaptive detection and coordination system which consists of anomaly and misuse detector combined by lightweight neural networks to synchronize with specific data control of proxy server.The proposed method is able to correct false positive of anomaly detector for the unusual changes in the segment monitored by the subsequent misuse detector. The orthogonal outputs of these two detectors can be applied for the switching condition between the parameter settings and the protective data modification of proxy. In the unseen attacks our model detects, the forwarding delay time set in the proxy server according to the detection intervals enable us to protect the system faster and prevent effectively the malicious code from spreading.