A Resource Scheduling Strategy for Intrusion Detection on Multi-core Platform

As network becomes faster, there is an emergence need for parallel intrusion detection techniques to keep up with the rapid increase in link speed. Resource scheduling plays a key role in parallel detection schemes. Its primary function is to assist a parallel network-based intrusion detection system (NIDS) to achieve high performance in network environment. In this paper, we introduce an abstract NIDS model and a related new resource scheduling strategy on multi-core platform. This strategy provides a resource configuration scheme by comprehensively considering many performance metrics. Preliminary examples demonstrate the effectiveness of our approach and present a first experimental evaluation.