通信学报 ›› 2021, Vol. 42 ›› Issue (2): 154-167.doi: 10.11959/j.issn.1000-436x.2021040

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移动设备加密流量的用户信息探测研究展望

张腾飞, 余顺争   

  1. 中山大学计算机学院,广东 广州 510006
  • 修回日期:2020-11-03 出版日期:2021-02-25 发布日期:2021-02-01
  • 作者简介:张腾飞(1991- ),男,河南洛阳人,中山大学博士生,主要研究方向为网络安全和网络行为分析。
    余顺争(1958- ),男,江西景德镇人,博士,中山大学教授、博士生导师,主要研究方向为隐半马尔可夫模型和机器学习、协议逆向工程、网络流量和网络行为分析、异常检测、基于SDN的云安全。
  • 基金资助:
    国家自然科学基金资助项目(U1636118);国家自然科学基金资助项目(61972431);广东省科技计划项目重大专项基金资助项目(2017B030306015);广东省应用型科技研发专项基金资助项目(2017B010125003)

Research prospects of user information detection from encrypted traffic of mobile devices

Tengfei ZHANG, Shunzheng YU   

  1. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China
  • Revised:2020-11-03 Online:2021-02-25 Published:2021-02-01
  • Supported by:
    The National Natural Science Foundation of China(U1636118);The National Natural Science Foundation of China(61972431);The High Technology Research and Development Program of Guangdong(2017B030306015);Special Project on the Applied Technology Research and Development of Guangdong(2017B010125003)

摘要:

移动设备加密流量分析可以用主动或被动的方式获取多种类型的用户信息,为网络安全管理和用户隐私保护提供保障。重点分析、归纳了用户信息探测所涉及的数据采集、特征选择、模型与方法以及评价体系的基本原理和关键方法。总结了现有方案中存在的问题,以及未来研究方向和面临的挑战。

关键词: 移动设备, 加密流量分析, 网络安全, 隐私保护, 信息探测

Abstract:

Encrypted traffic analysis of mobile devices can obtain multiple types of user information in an active or passive way, which provides protection for network security management and user privacy protection.The basic principles and key methods of data collection, feature selection, models and methods, and evaluation systems involved in these user information detection were analyzed and summarized.The problems in the existing projects were summarized, as well as the future research directions and challenges.

Key words: mobile device, encrypted traffic analysis, network security, privacy protection, information detection

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