摘要
网络入侵检测是网络安全领域研究的热点问题,通过应用分组交换检测机制和Markov链,提出基于Snort系统的IDS模型,设计Snort系统规则库和检测引擎。分析结果表明,改进模型和方法可以提高网络入侵检测中海量数据的检测准确率和效率。
Network intrusion detection is a hot research field of network security,We provide an imporved IDS model based on Snort System through the use of packet switching and Markov chain,and design snort-based rules and detection engine.The results show that the improved model and network intrusion detection methods can improve detection accuracy and efficiency for massive data.
出处
《自动化与仪器仪表》
2010年第6期7-8,29,共3页
Automation & Instrumentation