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

Methods for interpreting and understanding deep neural networks

(2018) Grégoire Montavon et al.   DIGITAL SIGNAL PROCESSING

Network Traffic Fingerprinting Based on Approximated Kernel Two-Sample Test

(2018) Jan Kohout et al.   IEEE Transactions on Information Forensics and Security

Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

(2018) Naveed Akhtar et al.   IEEE Access

BlindBox

(2015) Justine Sherry et al.   ACM SIGCOMM Computer Communication Review

A survey of methods for encrypted traffic classification and analysis

(2015) Petr Velan et al.   International Journal of Network Management

Deep learning

(2015) Yann LeCun et al.   NATURE

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

(2015) Babak Alipanahi et al.   NATURE BIOTECHNOLOGY

BlindBox

(2015) Justine Sherry et al.   ACM SIGCOMM Computer Communication Review

A multilevel taxonomy and requirements for an optimal traffic-classification model

(2014) Jawad Khalife et al.   International Journal of Network Management

A Survey of Payload-Based Traffic Classification Approaches

(2013) Michael Finsterbusch et al.   IEEE Communications Surveys and Tutorials

Issues and future directions in traffic classification

(2012) Alberto Dainotti et al.   IEEE NETWORK

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Can encrypted traffic be identified without port numbers, IP addresses and payload inspection?

(2010) Riyad Alshammari et al.   Computer Networks

A survey of network virtualization

(2009) N.M. Mosharaf Kabir Chowdhury et al.   Computer Networks