Intelligent detection for big data scripting attack based on image processing inspired method and vectorization

In this paper, the methods similar to image processing and vectorization are used for the verctorization of access traffic corpus big data, and the intelligent detection for big data cross-site scripting attack is achieved. Besides, this paper uses methods similar to image processing for data acquisition, data cleaning, data sampling and feature extraction. Then, a word vectorization algorithm based on neural network is designed to obtain the big data of word vectorization. On this basis, the DCNNs intelligent detection algorithm with different depth is proposed. Finally, experiments with different hyper-parameter are conducted, and the obtained average recognition rate, variance and standard deviation show that the proposed algorithm has high recognition rate and stability.