BROWSER FINGERPRINT RECOGNITION METHOD BASED ON MULTI-CLASS LSTM NETWORK
The existing methods based on machine learning process the user recognition of browser fingerprint into a binary classification problem,but they have more information loss and low recognition efficiency.In order to solve the above problems,this paper proposes a browser fingerprinting recognition method based on multi-class LSTM.The basic idea of this method was to process the same user's browser fingerprint data into time series,and it used the multi-class LSTM model to classify them,so as to achieve user recognition.The experimental results show that the proposed method has higher accuracy and faster recognition speed than the fingerprinting recognition method based on binary classification.
国家科技期刊平台
NSTL
万方数据
维普
