云计算的舰船网络入侵检测算法研究

Research on cloud computing algorithm for ship network intrusion detection

普通入侵检测方法,不能在舰船保持运动状态情况下,准确判断入侵数据所处位置,并快速清除入侵数据。为解决此问题,搭建基于云计算环境的舰船网络入侵检测算法。通过数据捕捉模块的搭建、数据预处理模块的搭建,完成云计算运行环境的搭建。通过舰船网络总体结构的搭建、入侵检测算法的优化,完成算法的搭建。引入PSO法则,对算法的实现起到一定约束作用。设计对比实验结果表明,新型算法与普通方法相比,可以准确判断入侵数据所处位置,并大幅节省清除入侵数据所需时间。

The common intrusion detection method can not accurately determine the location of the intrusion data and quickly remove the intrusion data in the condition of the ship's movement state. In order to solve this problem, a ship network intrusion detection algorithm based on cloud computing environment is built. Through the construction of data capture module and data preprocessing module, the construction of cloud computing environment is completed. Through the construction of the overall structure of the ship network and the optimization of the intrusion detection algorithm, the construction of the algorithm is completed. The PSO rule is introduced, which plays a certain constraint on the implementation of the algorithm. The design comparison experiment results show that the new algorithm can accurately identify the location of the intrusion data and save time to eliminate the intrusion data compared with the common method.