摘要
由于船舶信息网络包含了数量庞大且结构各异的设备,使得网络流量激增,网络负载巨大,对网络传输的安全性和可靠性提出挑战。网络安全态势评估研究是通过对网络的实时监控,能够在网络攻击行为发生之前实现对异常网络行为的识别、响应以及防御,为网络系统提供一种安全解决方案。本文提出了基于贝叶斯-模糊融合模型以及基于直觉模糊决策的态势评估模型,有效地提高了舰船信息系统的安全性,并进行仿真实验。
Ship information network consists of a large number of different equipment,poses a challenge to the safety and reliability of network transmission. Research on network security situation assessment is through the real- time monitoring of network to realize the abnormal network behavior recognition,response and defense before the network attack behavior,is the network system to provide a security solution. This paper proposed a fuzzy fusion model based on Bayes,and a situation assessment model based on the intuitionistic fuzzy decision.
出处
《舰船科学技术》
北大核心
2016年第5X期145-147,共3页
Ship Science and Technology
关键词
信息采集
融合分析
安全态势
information access
fusion analysis
security situation
