Abstract:

In the process of sliding verification,it is very important to distinguish whether the drill author is “machine”or“personal”.In this paper,we use the neural network algorithm and MATLAB software to make an empirical study and analysis on the characteristics of the sliding trajectory extraction left by human and machine,and establish the classification model of the neural network to predict the operator.The results show  that the BP neural network model has high prediction accuracy and provides a guarantee for network security to some extent.

Key words: Verification code, BP neural network, Classification, ROC curve, Human machine identification