摘要
从分析各种生物模拟技术的特点入手,综述了人工神经网络、进化计算、计算机免疫学在入侵检测技术领域的应用.尽管智能技术在入侵检测的研究已有大量的应用,但是还基本停留在理论研究上,离实际的应用还有较大的距离.智能技术在入侵检测中的发展趋势,主要是扩大分布处理能力、进一步提高学习能力、提高检测系统的响应能力、加强IDS自身的安全性、提高实用性等.
Starting with the analysis of the characteristics of biosimulation, the applications of biosimulation used in IDS, such as though the intelligent evolutionary computation, neural networks and artificial immune, were reviewed. Altechnology has been applied in intrusion detection widely, the application now still rests on theory research. And, there are quite far distance from real application. The applications of biosimulation used in IDS has five development trends, such as extending distributing processing ability, improving studying ability, increasing responding ability, strengthening self-security and practicability.
出处
《郑州轻工业学院学报（自然科学版）》
CAS
2010年第2期67-70,共4页
Journal of Zhengzhou University of Light Industry:Natural Science
基金
河南省科技攻关项目(0624220084)
郑州轻工业学院科研基金项目(2007XJJ13)
关键词
网络安全
入侵检测
人工智能
生物模拟
network security
IDS
artificial intelligence
biosimnlation
