舰船通信网络多节点数据安全态势预测技术研究

Research on multi node data security situation prediction technology for ship communication network

传统的预测技术在预测舰船通信网络多节点数据安全态势时,准确率很低。针对这一问题,研究一种新的舰船通信网络多节点数据安全态势预测技术。该技术分为安全态势分析、安全态势感知、安全态势预测、安全态势评估4步,给出了舰船通信网络多节点数据安全态势感知模型和安全态势预测模型,安全态势感知模型由设置层、存储层和感知层组成,通过DS证据理论建立安全态势预测模型。与传统预测技术进行了实验对比,结果表明,给出的预测技术预测准确率高,发展空间大。

Traditional prediction technology has a low accuracy in predicting the multi-node data security situation of warship communication network. Aiming at this problem, a new multi-node data security situation prediction technology for naval ship communication network is studied. The technology is divided into four steps: security situation analysis, security situation awareness, security situation prediction and security situation assessment. A multi-node data security situation awareness model and security situation prediction model for naval ship communication network are given. The security situational awareness model is composed of setup layer, storage layer and perception layer. The security situational prediction model is established by DS evidence theory. Compared with traditional forecasting technology, the results show that the forecasting technology has high accuracy and great development space.