计算机与数字工程2025，Vol.53Issue(2)：460-464,5.DOI:10.3969/j.issn.1672-9722.2025.02.028
一种基于指纹特征的加密网页识别方法
An Encrypted Webpage Identification Method Based on Fingerprint Features
摘要
Abstract
Encrypted web page identification is to obtain the user's browsing behavior by analyzing encrypted network traffic.This technology can screen criminal activities under the premise of protecting user privacy and data.However,the current encrypted web page identification methods are difficult to identify web applications under the same website with high accuracy.This paper pro-poses a new method for fingerprint identification of encrypted web pages.The proposed method includes two parts,which are finger-print feature extraction and comparison.In the fingerprint feature extraction part,the method in this paper extracts the data packet sequence length,time information and data flow direction.In the fingerprint comparison part,the random forest method is used to distinguish different web pages.The comparative experimental results show that the web fingerprint method proposed in this paper achieves 93.5%accuracy,which is 1.5%higher than the typical method,reduces the time complexity,and is better than the exist-ing methods in terms of stability.关键词
加密流量/机器学习/网页指纹Key words
encrypted traffic/machine learning/webpage fingerprinting分类
计算机与自动化引用本文复制引用
陈伟,翟江涛,王勤凡..一种基于指纹特征的加密网页识别方法[J].计算机与数字工程,2025,53(2):460-464,5.基金项目
国家自然科学基金项目(编号:61931004,62072250) （编号:61931004,62072250）
南京信息工程大学人才启动基金项目(编号:2020r061)资助. （编号:2020r061）
