Scholarlink

In recent years, with the continuous advancement of network technologies, the encryption mechanisms of VPNs have become increasingly complex, rendering traditional traffic identification methods progressively ineffective. Conventional approaches based on port numbers and protocol characteristics are no longer sufficient to cope with the variability and encryption features of modern VPNs. Therefore, exploring how to accurately identify VPN servers through network traffic characteristics has become a critical issue in the field of cybersecurity. Identifying VPN servers through traffic analysis not only enables network security administrators to better manage network resources but also provides strong technical support for the secure operation of networks.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

VPN Traffic Detection Based on Behavioral Characteristics

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Qing Chen,
  • Yichen Xin,
  • Jun Tian,
  • Qianwen Jin,
  • Hanxiao Ye

摘要

In recent years, with the continuous advancement of network technologies, the encryption mechanisms of VPNs have become increasingly complex, rendering traditional traffic identification methods progressively ineffective. Conventional approaches based on port numbers and protocol characteristics are no longer sufficient to cope with the variability and encryption features of modern VPNs. Therefore, exploring how to accurately identify VPN servers through network traffic characteristics has become a critical issue in the field of cybersecurity. Identifying VPN servers through traffic analysis not only enables network security administrators to better manage network resources but also provides strong technical support for the secure operation of networks.