摘要
为了提高舰船信息融合系统网络安全态势预测性能,提出了基于AIS的舰船信息融合系统网络安全态势预测。在迭代舰船信息融合系统网络安全态势粒子的过程中,寻找到粒子群的最佳位置,并确定网络安全态势的最佳位置,采用AIS技术优化舰船信息融合系统网络安全态势预测参数,通过收集和预处理舰船信息融合系统网络安全态势数据,判断舰船信息融合系统网络安全状态,实现舰船信息融合系统网络安全态势的预测。实验结果表明,基于AIS的舰船信息融合系统网络安全态势预测方法无论是否受到网络攻击,均可以提高舰船信息融合系统网络安全态势预测性能,从而保证舰船信息融合系统的网络安全。
In order to improve the performance of the ship information fusion system network security situation prediction, an AIS-based ship information fusion system network security situation prediction is proposed. In the process of iterating the network security situation particles of the ship information fusion system, the best position of the particle swarm is found and the best position of the network security situation is determined. The AIS technology is used to optimize the network security situation prediction parameters of the ship information fusion system. Collect and preprocess network security situation data of ship information fusion system, judge the network security situation of ship information fusion system, and realize the prediction of network security situation of ship information fusion system. The experimental results show that the AIS-based ship information fusion system network security situation prediction method can improve the network security situation prediction performance of the ship information fusion system regardless of whether it is attacked by the network,thereby ensuring the network security of the ship information fusion system.
作者
秦志红
樊里略
宋冰
QIN Zhi-hong;FAN Li-lue;SONG Bing(Department of Network Security,Henan Police College,Henan 450000,China;School of Information Engineering,Zunyi Normal University,Zunyi 563006,China)
出处
《舰船科学技术》
北大核心
2020年第22期151-153,共3页
Ship Science and Technology
基金
河南省科技攻关项目(182102210021)
河南省高等学校重点科研项目(18A520014)
贵州省科技合作计划项目(黔科合LH字[2015]7014号)
关键词
AIS技术
信息融合系统
网络安全
态势预测
AIS technology
information fusion system
network security
situation prediction