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基于大数据技术的农机调度系统网络安全优化

Network Security Optimization of Agricultural Machinery Scheduling System Based on Big Data Technology

  • 摘要: 针对农机调度系统网络不安全和不可信的问题,在大数据技术下针对农机调度系统的网络安全优化进行了研究。农机调度系统主要包括车载端信息采集系统、监控信息管理系统和客户端监控系统。为了提高农机调度系统的网络安全性,除了对网络进行安全设计外,还采用人工神经网络模型对网络安全进行评价,并对网络安全态势预测模型进行了设计。为了验证农机调度系统的性能和网络安全性,对其进行农机调度系统网络安全评价试验和农机调度试验。试验结果表明:农机调度系统网络较为安全,可高效完成农机调度任务。

     

    Abstract: Aiming at the problem of network insecurity and unreliability of agricultural machinery scheduling system, the network security of agricultural machinery scheduling system based on big data technology was optimized. The agricultural machinery scheduling system was constituted of vehicle information acquisition system, monitoring information management system and client monitoring system. To improve the network security of agricultural machinery scheduling system, the network security was designed, the network security was evaluated by artificial neural network model, and the network security situation prediction model was also designed. To verify the property and network security of the agricultural machinery scheduling system, the network security evaluation test and the scheduling test were done. The test results show that the network is safe, and the system could accomplish the task efficiently.

     

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