医院信息网络安全中的主动防御技术的研究

Research on active defense technology in information network security

主动防御技术在医院信息网络安全中扮演着至关重要的角色,它不同于传统的被动防御,在网络安全攻击未出现或者没有造成重大事故的情况下,主动防御技术主动寻找信息网络系统的漏洞或者网络攻击.主动防御技术能够有效解决医院信息网络系统中的缺陷和隐患,有效地保障医院信息网络的安全.对医院信息网络系统而言,有必要剖析主动防御技术的基本性质和主要技术内容.文章结合医院信息网络安全的情况,总结了主动防御技术的特性与系统体系,提出了一种基于模糊最小极大神经网络和粒子群优化的入侵检测系统.利用预处理的数据集对系统进行了测试,证明了系统的有效性.

Active defense technology plays a vital role in hospital information network security.Active defense technology is different from traditional passive defense.When network security attacks do not occur or cause major accidents,active defense technology proactively information network system Vulnerabilities or cyber attacks.Active defense technology can effectively solve the defects and hidden dangers in the hospital information network system,and effectively guarantee the safety of the hospital information network.For the hospital information network system,it is necessary to analyze the basic nature and main technical content of active defense technology.This article combines the characteristics of hospital information network security,summarizes the characteristics and system system of active defense technology.This paper proposes an intrusion detection system based on fuzzy minimum maximum neural network and particle swarm optimization.The system was tested using pre-processed data sets,which proved the effectiveness of the system.