As network speed increases tremendously than CPU and memory speed, it widens the gap between network and the end system. This poses a major challenge in the field of intrusion detection as the data has to be scanned at link speeds to detect the malicious packets. The prominent solution for this problem is addressed by the invent of multicore processors which cope up with increasing link speeds by offering parallelism and the required instruction sets to provide the necessary throughput. By making use of the multicore Network Processors it is possible to parallelize the intrusion detection activity at the data rate. In this scenario where processor is subject to computationally intensive task, performing stateful signature based analysis together with dynamic load balancing, without efficient parallelization is thorniest. Hence, an enhanced way of parallelization technique is proposed in this study to dynamically distribute the load among the core without jeopardizing the analysis reliability.
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