Tor encrypted traffic classification method based on BiLSTM

The invention provides a Tor encrypted traffic classification method based on BiLSTM. The Tor encrypted traffic classification method based on BiLSTM specifically comprises the following steps: S1, preprocessing a data set; s2, performing parallel strategy improvement on the GSK algorithm to obtain a PGSK algorithm; s3, performing compact strategy improvement on the PGSK algorithm to obtain a PCGSK algorithm; s4, performing parameter optimization on the maximum number of iterations, the initial learning rate and the hidden layer of the BiLSTM by using a PCGSK algorithm; s5, introducing an attention mechanism to the optimized BiLSTM, and enhancing the proportion of important features; and S6, the PCGSK-BiLSTM is used to classify the Tor data set. According to the technical scheme of the invention, the problem of low classification accuracy of a Tor encrypted traffic classification method in the prior art is solved. 本发明提供了一种基于BiLSTM的Tor加密流量分类方法，具体包括如下步骤：S1，对数据集进行预处理；S2，对GSK算法进行并行策略改进，得到PGSK算法；S3，对PGSK算法进行紧凑策略改进