计算机应用与软件2024，Vol.41Issue(4)：173-178,6.DOI:10.3969/j.issn.1000-386x.2024.04.026
基于多分类LSTM的浏览器指纹识别方法
BROWSER FINGERPRINT RECOGNITION METHOD BASED ON MULTI-CLASS LSTM NETWORK
摘要
Abstract
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.关键词
浏览器指纹/LSTM/用户识别Key words
Browser fingerprint/LSTM/User recognition分类
信息技术与安全科学引用本文复制引用
李建伏,宋国平..基于多分类LSTM的浏览器指纹识别方法[J].计算机应用与软件,2024,41(4):173-178,6.基金项目
国家重点研发计划项目(2020YFB1600101) （2020YFB1600101）
天津市教委科研计划项目(2020KJ024). （2020KJ024）
