A Novel Lightweight Anonymous Proxy Traffic Detection Method Based on Spatio-Temporal Features

• Published in: Sensors (Basel, Switzerland) Vol. 22; no. 11; p. 4216
• Main Authors: He, Yanjie, Li, Wei
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.06.2022; MDPI
• Subjects: Algorithms; Analysis; Censorship; Classification; CNN; Computer crimes; Data security; Deep learning; Identification; Internet; Machine learning; Methods; Neural networks; Payloads; Safety and security measures; Shadowsocks traffic detection; spatio-temporal features; Virtual private networks; VPN traffic detection; China; CNN; Shadowsocks traffic detection; VPN traffic detection; spatio-temporal features

Anonymous proxies are used by criminals for illegal network activities due to their anonymity, such as data theft and cyber attacks. Therefore, anonymous proxy traffic detection is very essential for network security. In recent years, detection based on deep learning has become a hot research topic,...