复杂环境下的舰船网络信息系统安全分析
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摘要
舰船网络信息系统的安全与多种因素相关,而且每一种因素的作用程度不同,为了提高舰船网络信息系统的安全分析精度,设计一种复杂环境下的舰船网络信息系统的安全分析方法。首先建立舰船网络信息系统的安全评价指标,并采用模糊理论的隶属度描述每一种舰船网络信息系统安全评价指标的贡献,然后将安全评价指标作为最小二乘支持向量机的输入,舰船网络信息系统安全等级作为输出,进行学习和训练,建立舰船网络信息系统安全分析模型,最后在Matlab 2016平台进行舰船网络信息系统安全分析模拟实验,本文方法的舰船网络信息系统安全分析精度超过92%,而当前其他舰船网络信息系统安全分析方法的精度均低于90%,而且舰船网络信息系统安全分析效率的优势明显,实验结果验证了本文方法的有效性。
The security of naval ship network information system is related to many factors, and each factor plays different roles. In order to improve the security analysis accuracy of naval ship network information system, a security analysis method of naval ship network information system in complex environment is designed. Firstly, the safety evaluation index of naval ship network information system is established, and the contribution of each safety evaluation index of naval ship network information system is described by the membership degree of fuzzy theory. Then, the safety evaluation index is used as input of least squares support vector machine and the safety level of naval ship network information system is used as output to study and train, and the safety analysis of naval ship network information system is established. At last, the simulation experiment of ship network information system security analysis is carried out on Matlab 2016 platform. The accuracy of this method is more than 92%, while that of other methods is less than 90%. Moreover, the advantages of this method are obvious. The experimental results verify effectiveness the method in this paper.
The security of naval ship network information system is related to many factors, and each factor plays different roles. In order to improve the security analysis accuracy of naval ship network information system, a security analysis method of naval ship network information system in complex environment is designed. Firstly, the safety evaluation index of naval ship network information system is established, and the contribution of each safety evaluation index of naval ship network information system is described by the membership degree of fuzzy theory. Then, the safety evaluation index is used as input of least squares support vector machine and the safety level of naval ship network information system is used as output to study and train, and the safety analysis of naval ship network information system is established. At last, the simulation experiment of ship network information system security analysis is carried out on Matlab 2016 platform. The accuracy of this method is more than 92%, while that of other methods is less than 90%. Moreover, the advantages of this method are obvious. The experimental results verify effectiveness the method in this paper.
引文
[1]闫志英.多数据源舰船通信网络节点安全态势评估研究[J].舰船科学技术, 2019, 41(1A):154–156.
[2]张士峰,徐滨昕.舰船通信网络多节点数据安全态势预测技术研究[J].舰船科学技术, 2019, 41(1A):187–189.
[3]廖克顺.梅森旋转算法影响下的舰船传输网络数据隐写技术研究[J].广西师范学院学报(自然科学版), 2018, 35(3):61–66.
[4]张建英.舰船网络入侵风险等级估计算法研究[J].舰船科学技术, 2018, 40(5A):154–156.
[2]张士峰,徐滨昕.舰船通信网络多节点数据安全态势预测技术研究[J].舰船科学技术, 2019, 41(1A):187–189.
[3]廖克顺.梅森旋转算法影响下的舰船传输网络数据隐写技术研究[J].广西师范学院学报(自然科学版), 2018, 35(3):61–66.
[4]张建英.舰船网络入侵风险等级估计算法研究[J].舰船科学技术, 2018, 40(5A):154–156.