摘要
随着现代化工业的发展,船舶网络通信系统的复杂程度也逐渐提高,在此背景下,对船舶通信网络的安全评估性能也提出新要求。由于传统的通信网络评估架构难以满足现阶段船舶通信网络发展对数据传输的准确性和安全性的要求。为提高船舶综合安全评价水平,优化其工作性能,对船舶通信网络安全评估体系进行建模,以便更好的对船舶通信网络安全进行评估。首先根据船舶通信网络的特点建立基于神经网络的服务器的安全评估系统,并通过神经网络对船舶通信安全性进行检测,以达到提高安全评估的精确性目标。为了对模型安全评估性能进行验证,设置了仿真实验,实验结果证明,与传统的安全评估系统相比,基于神经网络的船舶通信安全评估系统能够更准确、快速的对网络安全情况进行评估。
With the development of modern industry, the complexity of the ship network communication system is also gradually increased. in this context, the safety evaluation performance of the ship communication network is also put forward new requirements. Because the traditional communication network evaluation architecture is difficult to meet the requirements of the ship communication network development on the accuracy and security of data transmission. In order to improve the comprehensive safety evaluation level and optimize its working performance, the safety evaluation system of ship communication network is modeled, so as to better evaluate the safety of ship communication network. Firstly, according to the characteristics of the ship communication network, the safety evaluation system of the server based on neural network is established, and the ship communication safety is detected through neural network, so as to achieve the goal of improving the accuracy of safety evaluation. In order to verify the model security evaluation performance, a simulation experiment is set up. the experimental results show that the network security situation can be evaluated more accurately and quickly compared with the traditional security evaluation system.
出处
《舰船科学技术》
北大核心
2018年第3X期88-90,共3页
Ship Science and Technology
