[HTML][HTML] Challenges and Advances in Analyzing TLS 1.3-Encrypted Traffic: A Comprehensive Survey

J Zhou, W Fu, W Hu, Z Sun, T He, Z Zhang - Electronics, 2024 - mdpi.com
The widespread adoption of encrypted communication protocols has significantly enhanced
network security and user privacy, simultaneously elevating the importance of encrypted …

A survey on encrypted network traffic: A comprehensive survey of identification/classification techniques, challenges, and future directions

A Sharma, AH Lashkari - Computer Networks, 2024 - Elsevier
Encrypted traffic detection and classification is a critical domain in network security,
increasingly essential in an era of pervasive encryption. This survey paper delves into …

Streaming traffic classification: a hybrid deep learning and big data approach

M Seydali, F Khunjush, J Dogani - Cluster Computing, 2024 - Springer
Massive amounts of real-time streaming network data are generated quickly because of the
exponential growth of applications. Analyzing patterns in generated flow traffic streaming …

A Multi-Perspective Feature Approach to Few-Shot Classification of IoT Traffic

X Ma, Y Wang, Y Lai, W Jia, Z Zhao… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The realization of Internet of Things (IoT) traffic classification is crucial to the management
and monitoring of the IoT network. Performing IoT traffic classification under a few-shot …

CETP: A novel semi-supervised framework based on contrastive pre-training for imbalanced encrypted traffic classification

X Lin, L He, G Gou, J Yu, Z Guan, X Li, J Guo… - Computers & …, 2024 - Elsevier
Encrypted traffic classification (ETC) requires differentiated and robust traffic representation
captured from content-agnostic and imbalanced traffic data for accurate classification, which …

Listen to Minority: Encrypted Traffic Classification for Class Imbalance with Contrastive Pre-Training

X Li, J Guo, Q Song, J Xie, Y Sang… - 2023 20th Annual …, 2023 - ieeexplore.ieee.org
Mobile Internet has profoundly reshaped modern lifestyles in various aspects. Encrypted
Traffic Classification (ETC) naturally plays a crucial role in managing mobile Internet …

RBLJAN: Robust Byte-Label Joint Attention Network for Network Traffic Classification

X Xiao, S Wang, G Hu, Q Li, K Mao… - … on Dependable and …, 2024 - ieeexplore.ieee.org
Network traffic classification plays a crucial role in network management and cyberspace
security. As the Internet evolves with new applications and protocols, traditional machine …

A Machine Learning-Based Toolbox for P4 Programmable Data-Planes

K Zhang, N Samaan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Intelligent data-planes (IDPs) can enhance network service performance and adaptation
speed by executing one or more machine learning (ML) models directly on the served flows …

Beyond known threats: A novel strategy for isolating and detecting unknown malicious traffic

Q Meng, Q Yuan, X Wang, Y Wang, G Li, Y Zhu… - Journal of Information …, 2025 - Elsevier
Traditional network intrusion detection systems excel at screening known attack types, but
face significant challenges when dealing with unseen malicious traffic, often misclassifying …

IIT: Accurate Decentralized Application Identification Through Mining Intra-and Inter-Flow Relationships

Q Meng, Q Yuan, W Niu, Y Wang, S Lu… - … on Network and …, 2024 - ieeexplore.ieee.org
Identifying Decentralized Applications (DApps) from encrypted network traffic plays an
important role in areas such as network management and threat detection. However, DApps …