A communication-channel-based method for detecting deeply camouflaged malicious traffic

DISTILLER: Encrypted traffic classification via multimodal multitask deep learning

(2021) Giuseppe Aceto et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Toward Effective Mobile Encrypted Traffic Classification through Deep Learning

(2020) Giuseppe Aceto et al.   NEUROCOMPUTING

Two-layer detection framework with a high accuracy and efficiency for a malware family over the TLS protocol

(2020) Rongfeng Zheng et al.   PLoS One

Preprocessing Method for Encrypted Traffic Based on Semisupervised Clustering

(2020) Rongfeng Zheng et al.   Security and Communication Networks

Attention-based bidirectional GRU networks for efficient HTTPS traffic classification

(2020) Xun Liu et al.   INFORMATION SCIENCES

Deep packet: a novel approach for encrypted traffic classification using deep learning

(2019) Mohammad Lotfollahi et al.   SOFT COMPUTING

Feature analysis of encrypted malicious traffic

(2019) Anish Singh Shekhawat et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Dive into the Dark Web: Hierarchical Traffic Classification of Anonymity Tools

(2019) Antonio Montieri et al.   IEEE Transactions on Network Science and Engineering

Learning communication patterns for malware discovery in HTTPs data

(2018) Jan Kohout et al.   EXPERT SYSTEMS WITH APPLICATIONS

Robust Smartphone App Identification via Encrypted Network Traffic Analysis

(2018) Vincent F. Taylor et al.   IEEE Transactions on Information Forensics and Security

Multi-classification approaches for classifying mobile app traffic

(2018) Giuseppe Aceto et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Leveraging LSTM Networks for Attack Detection in Fog-to-Things Communications

(2018) Abebe Diro et al.   IEEE COMMUNICATIONS MAGAZINE

HTTP attack detection using n-gram analysis

(2014) Aditya Oza et al.   COMPUTERS & SECURITY

Granular Computing: Perspectives and Challenges

(2013) Jing Tao Yao et al.   IEEE Transactions on Cybernetics