作者
Xinming Chen, Yiyao Wu, Lianghong Xu, Yibo Xue, Jun Li
发表日期
2009
简介
As security threats and network bandwidth increase in a very fast pace, there is a growing interest in designing highperformance network intrusion detection system (NIDS). This paper presents a parallelization strategy for the popular open-source Snort to build a high performance NIDS on multi-core IA platform. A modular design of parallel NIDS based on Snort is proposed in this paper. Named Para-Snort, it enables flexible and easy module design. This paper also analyzed the performance impact of load balancing and multi-pattern matching. Modified-JSQ and AC-WM algorithms are implemented in order to resolve the bottlenecks and improve the performance of the system.
学术搜索中的文章
X Chen, Y Wu, L Xu, Y Xue, J Li - Proceedings of Parallel and Distributed Computing and …, 2009