基于云计算的船舶通信网络入侵特征提取方法

Intrusion feature extraction method for ship communication network based on cloud computing

普通船舶通信特征提取方法,不能根据入侵数据所处位置,快速完成数据特征的提取。为有效解决上述问题,设计基于云计算的船舶通信网络入侵特征提取方法。通过船舶通信入侵问题描述、特征数据的信号处理,完成云计算环境下,船舶通信入侵特征数据的确定。通过入侵特征架构的搭建、多序列船舶数据入侵特征提取,完成基于云计算的船舶通信网络入侵特征提取方法的搭建。设计对比实验结果表明,新型特征提取方法,与传统方法相比,可更加准确的确定入侵数据所处位置,并适当缩短完成数据特征提取所需时间。

The extraction method of common ship communication features can not extract the data features quickly according to the location of the intrusion data. In order to solve the above problems, a method for extracting intrusion characteristics of ship communication network based on cloud computing is designed. Through the description of the ship communication intrusion and the signal processing of the characteristic data, the identification of the characteristic data of the ship's communication intrusion is completed under the cloud computing environment. Through the building of Intrusion Feature Architecture and the extraction of multi sequential ship data intrusion feature, we complete the construction of intrusion detection method based on cloud computing. The results of design contrast experiments show that compared with the traditional methods, the new feature extraction method can identify the location of the intrusion data more accurately and shorten the time needed to complete the data feature extraction.